Sample records for national biomedical computation

  1. The National Center for Biomedical Ontology

    PubMed Central

    Noy, Natalya F; Shah, Nigam H; Whetzel, Patricia L; Chute, Christopher G; Story, Margaret-Anne; Smith, Barry

    2011-01-01

    The National Center for Biomedical Ontology is now in its seventh year. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use ontologies and terminologies in biomedicine. The centerpiece of the National Center for Biomedical Ontology is a web-based resource known as BioPortal. BioPortal makes available for research in computationally useful forms more than 270 of the world's biomedical ontologies and terminologies, and supports a wide range of web services that enable investigators to use the ontologies to annotate and retrieve data, to generate value sets and special-purpose lexicons, and to perform advanced analytics on a wide range of biomedical data. PMID:22081220

  2. Advanced Biomedical Computing Center (ABCC) | DSITP

    Cancer.gov

    The Advanced Biomedical Computing Center (ABCC), located in Frederick Maryland (MD), provides HPC resources for both NIH/NCI intramural scientists and the extramural biomedical research community. Its mission is to provide HPC support, to provide collaborative research, and to conduct in-house research in various areas of computational biology and biomedical research.

  3. Biomedical Computing Technology Information Center: introduction and report of early progress

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Maskewitz, B.F.; Henne, R.L.; McClain, W.J.

    1976-01-01

    In July 1975, the Biomedical Computing Technology Information Center (BCTIC) was established by the Division of Biomedical and Environmental Research of the U. S. Energy Research and Development Administration (ERDA) at the Oak Ridge National Laboratory. BCTIC collects, organizes, evaluates, and disseminates information on computing technology pertinent to biomedicine, providing needed routes of communication between installations and serving as a clearinghouse for the exchange of biomedical computing software, data, and interface designs. This paper presents BCTIC's functions and early progress to the MUMPS Users' Group in order to stimulate further discussion and cooperation between the two organizations. (BCTIC services aremore » available to its sponsors and their contractors and to any individual/group willing to participate in mutual exchange.) 1 figure.« less

  4. Leveraging the national cyberinfrastructure for biomedical research.

    PubMed

    LeDuc, Richard; Vaughn, Matthew; Fonner, John M; Sullivan, Michael; Williams, James G; Blood, Philip D; Taylor, James; Barnett, William

    2014-01-01

    In the USA, the national cyberinfrastructure refers to a system of research supercomputer and other IT facilities and the high speed networks that connect them. These resources have been heavily leveraged by scientists in disciplines such as high energy physics, astronomy, and climatology, but until recently they have been little used by biomedical researchers. We suggest that many of the 'Big Data' challenges facing the medical informatics community can be efficiently handled using national-scale cyberinfrastructure. Resources such as the Extreme Science and Discovery Environment, the Open Science Grid, and Internet2 provide economical and proven infrastructures for Big Data challenges, but these resources can be difficult to approach. Specialized web portals, support centers, and virtual organizations can be constructed on these resources to meet defined computational challenges, specifically for genomics. We provide examples of how this has been done in basic biology as an illustration for the biomedical informatics community.

  5. Leveraging the national cyberinfrastructure for biomedical research

    PubMed Central

    LeDuc, Richard; Vaughn, Matthew; Fonner, John M; Sullivan, Michael; Williams, James G; Blood, Philip D; Taylor, James; Barnett, William

    2014-01-01

    In the USA, the national cyberinfrastructure refers to a system of research supercomputer and other IT facilities and the high speed networks that connect them. These resources have been heavily leveraged by scientists in disciplines such as high energy physics, astronomy, and climatology, but until recently they have been little used by biomedical researchers. We suggest that many of the ‘Big Data’ challenges facing the medical informatics community can be efficiently handled using national-scale cyberinfrastructure. Resources such as the Extreme Science and Discovery Environment, the Open Science Grid, and Internet2 provide economical and proven infrastructures for Big Data challenges, but these resources can be difficult to approach. Specialized web portals, support centers, and virtual organizations can be constructed on these resources to meet defined computational challenges, specifically for genomics. We provide examples of how this has been done in basic biology as an illustration for the biomedical informatics community. PMID:23964072

  6. National Space Biomedical Research Institute

    NASA Technical Reports Server (NTRS)

    2003-01-01

    In June 1996, NASA released a Cooperative Agreement Notice (CAN) inviting proposals to establish a National Space Biomedical Research Institute (9-CAN-96-01). This CAN stated that: The Mission of the Institute will be to lead a National effort for accomplishing the integrated, critical path, biomedical research necessary to support the long term human presence, development, and exploration of space and to enhance life on Earth by applying the resultant advances in human knowledge and technology acquired through living and working in space. The Institute will be the focal point of NASA sponsored space biomedical research. This statement has not been amended by NASA and remains the mission of the NSBRI.

  7. National Space Biomedical Research Institute

    NASA Technical Reports Server (NTRS)

    1998-01-01

    The National Space Biomedical Research Institute (NSBRI) sponsors and performs fundamental and applied space biomedical research with the mission of leading a world-class, national effort in integrated, critical path space biomedical research that supports NASA's Human Exploration and Development of Space (HEDS) Strategic Plan. It focuses on the enabling of long-term human presence in, development of, and exploration of space. This will be accomplished by: designing, implementing, and validating effective countermeasures to address the biological and environmental impediments to long-term human space flight; defining the molecular, cellular, organ-level, integrated responses and mechanistic relationships that ultimately determine these impediments, where such activity fosters the development of novel countermeasures; establishing biomedical support technologies to maximize human performance in space, reduce biomedical hazards to an acceptable level, and deliver quality medical care; transferring and disseminating the biomedical advances in knowledge and technology acquired through living and working in space to the benefit of mankind in space and on Earth, including the treatment of patients suffering from gravity- and radiation-related conditions on Earth; and ensuring open involvement of the scientific community, industry, and the public at large in the Institute's activities and fostering a robust collaboration with NASA, particularly through Johnson Space Center.

  8. The Lister Hill National Center for Biomedical Communications.

    PubMed

    Smith, K A

    1994-09-01

    On August 3, 1968, the Joint Resolution of the Congress established the program and construction of the Lister Hill National Center for Biomedical Communications. The facility dedicated in 1980 contains the latest in computer and communications technologies. The history, program requirements, construction management, and general planning are discussed including technical issues regarding cabling, systems functions, heating, ventilation, and air conditioning system (HVAC), fire suppression, research and development laboratories, among others.

  9. Cloud computing applications for biomedical science: A perspective.

    PubMed

    Navale, Vivek; Bourne, Philip E

    2018-06-01

    Biomedical research has become a digital data-intensive endeavor, relying on secure and scalable computing, storage, and network infrastructure, which has traditionally been purchased, supported, and maintained locally. For certain types of biomedical applications, cloud computing has emerged as an alternative to locally maintained traditional computing approaches. Cloud computing offers users pay-as-you-go access to services such as hardware infrastructure, platforms, and software for solving common biomedical computational problems. Cloud computing services offer secure on-demand storage and analysis and are differentiated from traditional high-performance computing by their rapid availability and scalability of services. As such, cloud services are engineered to address big data problems and enhance the likelihood of data and analytics sharing, reproducibility, and reuse. Here, we provide an introductory perspective on cloud computing to help the reader determine its value to their own research.

  10. Cloud computing applications for biomedical science: A perspective

    PubMed Central

    2018-01-01

    Biomedical research has become a digital data–intensive endeavor, relying on secure and scalable computing, storage, and network infrastructure, which has traditionally been purchased, supported, and maintained locally. For certain types of biomedical applications, cloud computing has emerged as an alternative to locally maintained traditional computing approaches. Cloud computing offers users pay-as-you-go access to services such as hardware infrastructure, platforms, and software for solving common biomedical computational problems. Cloud computing services offer secure on-demand storage and analysis and are differentiated from traditional high-performance computing by their rapid availability and scalability of services. As such, cloud services are engineered to address big data problems and enhance the likelihood of data and analytics sharing, reproducibility, and reuse. Here, we provide an introductory perspective on cloud computing to help the reader determine its value to their own research. PMID:29902176

  11. Biomedical engineering at Sandia National Laboratories

    NASA Astrophysics Data System (ADS)

    Zanner, Mary Ann

    1994-12-01

    The potential exists to reduce or control some aspects of the U.S. health care expenditure without compromising health care delivery by developing carefully selected technologies which impact favorably on the health care system. A focused effort to develop such technologies is underway at Sandia National Laboratories. As a DOE National Laboratory, Sandia possesses a wealth of engineering and scientific expertise that can be readily applied to this critical national need. Appropriate mechanisms currently exist to allow transfer of technology from the laboratory to the private sector. Sandia's Biomedical Engineering Initiative addresses the development of properly evaluated, cost-effective medical technologies through team collaborations with the medical community. Technology development is subjected to certain criteria including wide applicability, earlier diagnoses, increased efficiency, cost-effectiveness and dual-use. Examples of Sandia's medical technologies include a noninvasive blood glucose sensor, computer aided mammographic screening, noninvasive fetal oximetry and blood gas measurement, burn diagnostics and laser debridement, telerobotics and ultrasonic scanning for prosthetic devices. Sandia National Laboratories has the potential to aid in directing medical technology development efforts which emphasize health care needs, earlier diagnosis, cost containment and improvement of the quality of life.

  12. Structural biology computing: Lessons for the biomedical research sciences.

    PubMed

    Morin, Andrew; Sliz, Piotr

    2013-11-01

    The field of structural biology, whose aim is to elucidate the molecular and atomic structures of biological macromolecules, has long been at the forefront of biomedical sciences in adopting and developing computational research methods. Operating at the intersection between biophysics, biochemistry, and molecular biology, structural biology's growth into a foundational framework on which many concepts and findings of molecular biology are interpreted1 has depended largely on parallel advancements in computational tools and techniques. Without these computing advances, modern structural biology would likely have remained an exclusive pursuit practiced by few, and not become the widely practiced, foundational field it is today. As other areas of biomedical research increasingly embrace research computing techniques, the successes, failures and lessons of structural biology computing can serve as a useful guide to progress in other biomedically related research fields. Copyright © 2013 Wiley Periodicals, Inc.

  13. Applicability Analysis of Validation Evidence for Biomedical Computational Models

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Pathmanathan, Pras; Gray, Richard A.; Romero, Vicente J.

    Computational modeling has the potential to revolutionize medicine the way it transformed engineering. However, despite decades of work, there has only been limited progress to successfully translate modeling research to patient care. One major difficulty which often occurs with biomedical computational models is an inability to perform validation in a setting that closely resembles how the model will be used. For example, for a biomedical model that makes in vivo clinically relevant predictions, direct validation of predictions may be impossible for ethical, technological, or financial reasons. Unavoidable limitations inherent to the validation process lead to challenges in evaluating the credibilitymore » of biomedical model predictions. Therefore, when evaluating biomedical models, it is critical to rigorously assess applicability, that is, the relevance of the computational model, and its validation evidence to the proposed context of use (COU). However, there are no well-established methods for assessing applicability. In this paper, we present a novel framework for performing applicability analysis and demonstrate its use with a medical device computational model. The framework provides a systematic, step-by-step method for breaking down the broad question of applicability into a series of focused questions, which may be addressed using supporting evidence and subject matter expertise. The framework can be used for model justification, model assessment, and validation planning. While motivated by biomedical models, it is relevant to a broad range of disciplines and underlying physics. Finally, the proposed applicability framework could help overcome some of the barriers inherent to validation of, and aid clinical implementation of, biomedical models.« less

  14. Applicability Analysis of Validation Evidence for Biomedical Computational Models

    DOE PAGES

    Pathmanathan, Pras; Gray, Richard A.; Romero, Vicente J.; ...

    2017-09-07

    Computational modeling has the potential to revolutionize medicine the way it transformed engineering. However, despite decades of work, there has only been limited progress to successfully translate modeling research to patient care. One major difficulty which often occurs with biomedical computational models is an inability to perform validation in a setting that closely resembles how the model will be used. For example, for a biomedical model that makes in vivo clinically relevant predictions, direct validation of predictions may be impossible for ethical, technological, or financial reasons. Unavoidable limitations inherent to the validation process lead to challenges in evaluating the credibilitymore » of biomedical model predictions. Therefore, when evaluating biomedical models, it is critical to rigorously assess applicability, that is, the relevance of the computational model, and its validation evidence to the proposed context of use (COU). However, there are no well-established methods for assessing applicability. In this paper, we present a novel framework for performing applicability analysis and demonstrate its use with a medical device computational model. The framework provides a systematic, step-by-step method for breaking down the broad question of applicability into a series of focused questions, which may be addressed using supporting evidence and subject matter expertise. The framework can be used for model justification, model assessment, and validation planning. While motivated by biomedical models, it is relevant to a broad range of disciplines and underlying physics. Finally, the proposed applicability framework could help overcome some of the barriers inherent to validation of, and aid clinical implementation of, biomedical models.« less

  15. The BioIntelligence Framework: a new computational platform for biomedical knowledge computing.

    PubMed

    Farley, Toni; Kiefer, Jeff; Lee, Preston; Von Hoff, Daniel; Trent, Jeffrey M; Colbourn, Charles; Mousses, Spyro

    2013-01-01

    Breakthroughs in molecular profiling technologies are enabling a new data-intensive approach to biomedical research, with the potential to revolutionize how we study, manage, and treat complex diseases. The next great challenge for clinical applications of these innovations will be to create scalable computational solutions for intelligently linking complex biomedical patient data to clinically actionable knowledge. Traditional database management systems (DBMS) are not well suited to representing complex syntactic and semantic relationships in unstructured biomedical information, introducing barriers to realizing such solutions. We propose a scalable computational framework for addressing this need, which leverages a hypergraph-based data model and query language that may be better suited for representing complex multi-lateral, multi-scalar, and multi-dimensional relationships. We also discuss how this framework can be used to create rapid learning knowledge base systems to intelligently capture and relate complex patient data to biomedical knowledge in order to automate the recovery of clinically actionable information.

  16. The BioIntelligence Framework: a new computational platform for biomedical knowledge computing

    PubMed Central

    Farley, Toni; Kiefer, Jeff; Lee, Preston; Von Hoff, Daniel; Trent, Jeffrey M; Colbourn, Charles

    2013-01-01

    Breakthroughs in molecular profiling technologies are enabling a new data-intensive approach to biomedical research, with the potential to revolutionize how we study, manage, and treat complex diseases. The next great challenge for clinical applications of these innovations will be to create scalable computational solutions for intelligently linking complex biomedical patient data to clinically actionable knowledge. Traditional database management systems (DBMS) are not well suited to representing complex syntactic and semantic relationships in unstructured biomedical information, introducing barriers to realizing such solutions. We propose a scalable computational framework for addressing this need, which leverages a hypergraph-based data model and query language that may be better suited for representing complex multi-lateral, multi-scalar, and multi-dimensional relationships. We also discuss how this framework can be used to create rapid learning knowledge base systems to intelligently capture and relate complex patient data to biomedical knowledge in order to automate the recovery of clinically actionable information. PMID:22859646

  17. National Space Biomedical Research Institute

    NASA Technical Reports Server (NTRS)

    2001-01-01

    This report outlines National Space Biomedical Research Institute (NSBRI) activities during FY 2001, the fourth year of the NSBRI's programs. It is prepared in accordance with Cooperative Agreement NCC 9-58 between NASA's Lyndon B. Johnson Space Center and Baylor College of Medicine (NSBRI).

  18. National Space Biomedical Research Institute

    NASA Technical Reports Server (NTRS)

    2004-01-01

    This report outlines the National Space Biomedical Research Institute's (NSBRI) activities during FY 2004, the Institute's seventh year. It is prepared in accordance with Cooperative Agreement NCC 9-58 between NASA's Lyndon B. Johnson Space Center (JSC) and the Institute's lead institution, Baylor College of Medicine.

  19. National Space Biomedical Research Institute Annual Report

    NASA Technical Reports Server (NTRS)

    2000-01-01

    This report summarizes the activities of the National Space Biomedical Research Institute (NSBRI) during FY 2000. The NSBRI is responsible for the development of countermeasures against the deleterious effects of long-duration space flight and performs fundamental and applied space biomedical research directed towards this specific goal. Its mission is to lead a world-class, national effort in integrated, critical path space biomedical research that supports NASA's Human Exploration and Development of Space (HEDS) Strategic Plan by focusing on the enabling of long-term human presence in, development of, and exploration of space. This is accomplished by: designing, testing and validating effective countermeasures to address the biological and environmental impediments to long-term human space flight; defining the molecular, cellular, organ-level, integrated responses and mechanistic relationships that ultimately determine these impediments, where such activity fosters the development of novel countermeasures; establishing biomedical support technologies to maximize human performance in space, reduce biomedical hazards to an acceptable level, and deliver quality medical care; transferring and disseminating the biomedical advances in knowledge and technology acquired through living and working in space to the general benefit of mankind, including the treatment of patients suffering from gravity- and radiation-related conditions on Earth; and ensuring open involvement of the scientific community, industry and the public at large in the Institute's activities and fostering a robust collaboration with NASA, particularly through NASA's Lyndon B. Johnson Space Center. Attachment:Appendices (A,B,C,D,E,F,G,H,I,J,K,L,M,N,O, and P.).

  20. Biomedical informatics research network: building a national collaboratory to hasten the derivation of new understanding and treatment of disease.

    PubMed

    Grethe, Jeffrey S; Baru, Chaitan; Gupta, Amarnath; James, Mark; Ludaescher, Bertram; Martone, Maryann E; Papadopoulos, Philip M; Peltier, Steven T; Rajasekar, Arcot; Santini, Simone; Zaslavsky, Ilya N; Ellisman, Mark H

    2005-01-01

    Through support from the National Institutes of Health's National Center for Research Resources, the Biomedical Informatics Research Network (BIRN) is pioneering the use of advanced cyberinfrastructure for medical research. By synchronizing developments in advanced wide area networking, distributed computing, distributed database federation, and other emerging capabilities of e-science, the BIRN has created a collaborative environment that is paving the way for biomedical research and clinical information management. The BIRN Coordinating Center (BIRN-CC) is orchestrating the development and deployment of key infrastructure components for immediate and long-range support of biomedical and clinical research being pursued by domain scientists in three neuroimaging test beds.

  1. National Space Biomedical Research Institute

    NASA Technical Reports Server (NTRS)

    2003-01-01

    This report outlines the activities of the National Space Biomedical Research Institute (NSBRI) during FY 2003, the sixth year of the NSBRI's programs. It is prepared in accordance with Cooperative Agreement NCC 9-58 between NASA's Lyndon B. Johnson Space Center (JSC) and the Institute's lead institution, Baylor College of Medicine.

  2. 76 FR 76744 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-12-08

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Review Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes of...

  3. 77 FR 51544 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-08-24

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Review Officer, National Institute of Biomedical Imaging, and Bioengineering, National Institutes of...

  4. 77 FR 54581 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-09-05

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...., Scientific Review Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes...

  5. 78 FR 9066 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-07

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Review Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes of...

  6. 75 FR 61769 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-06

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical..., Scientific Review Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes...

  7. 78 FR 3009 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-15

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Review Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes of...

  8. BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications.

    PubMed

    Whetzel, Patricia L; Noy, Natalya F; Shah, Nigam H; Alexander, Paul R; Nyulas, Csongor; Tudorache, Tania; Musen, Mark A

    2011-07-01

    The National Center for Biomedical Ontology (NCBO) is one of the National Centers for Biomedical Computing funded under the NIH Roadmap Initiative. Contributing to the national computing infrastructure, NCBO has developed BioPortal, a web portal that provides access to a library of biomedical ontologies and terminologies (http://bioportal.bioontology.org) via the NCBO Web services. BioPortal enables community participation in the evaluation and evolution of ontology content by providing features to add mappings between terms, to add comments linked to specific ontology terms and to provide ontology reviews. The NCBO Web services (http://www.bioontology.org/wiki/index.php/NCBO_REST_services) enable this functionality and provide a uniform mechanism to access ontologies from a variety of knowledge representation formats, such as Web Ontology Language (OWL) and Open Biological and Biomedical Ontologies (OBO) format. The Web services provide multi-layered access to the ontology content, from getting all terms in an ontology to retrieving metadata about a term. Users can easily incorporate the NCBO Web services into software applications to generate semantically aware applications and to facilitate structured data collection.

  9. 75 FR 54641 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-08

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, 6707...

  10. 78 FR 10185 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-13

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, 6707...

  11. 76 FR 40922 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-07-12

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical..., National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, 6707 Democracy...

  12. 77 FR 49821 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-08-17

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical..., National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, 6707 Democracy...

  13. 76 FR 370 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-01-04

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical..., National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, 6707 Democracy...

  14. Computational approaches for predicting biomedical research collaborations.

    PubMed

    Zhang, Qing; Yu, Hong

    2014-01-01

    Biomedical research is increasingly collaborative, and successful collaborations often produce high impact work. Computational approaches can be developed for automatically predicting biomedical research collaborations. Previous works of collaboration prediction mainly explored the topological structures of research collaboration networks, leaving out rich semantic information from the publications themselves. In this paper, we propose supervised machine learning approaches to predict research collaborations in the biomedical field. We explored both the semantic features extracted from author research interest profile and the author network topological features. We found that the most informative semantic features for author collaborations are related to research interest, including similarity of out-citing citations, similarity of abstracts. Of the four supervised machine learning models (naïve Bayes, naïve Bayes multinomial, SVMs, and logistic regression), the best performing model is logistic regression with an ROC ranging from 0.766 to 0.980 on different datasets. To our knowledge we are the first to study in depth how research interest and productivities can be used for collaboration prediction. Our approach is computationally efficient, scalable and yet simple to implement. The datasets of this study are available at https://github.com/qingzhanggithub/medline-collaboration-datasets.

  15. Eleven quick tips for architecting biomedical informatics workflows with cloud computing.

    PubMed

    Cole, Brian S; Moore, Jason H

    2018-03-01

    Cloud computing has revolutionized the development and operations of hardware and software across diverse technological arenas, yet academic biomedical research has lagged behind despite the numerous and weighty advantages that cloud computing offers. Biomedical researchers who embrace cloud computing can reap rewards in cost reduction, decreased development and maintenance workload, increased reproducibility, ease of sharing data and software, enhanced security, horizontal and vertical scalability, high availability, a thriving technology partner ecosystem, and much more. Despite these advantages that cloud-based workflows offer, the majority of scientific software developed in academia does not utilize cloud computing and must be migrated to the cloud by the user. In this article, we present 11 quick tips for architecting biomedical informatics workflows on compute clouds, distilling knowledge gained from experience developing, operating, maintaining, and distributing software and virtualized appliances on the world's largest cloud. Researchers who follow these tips stand to benefit immediately by migrating their workflows to cloud computing and embracing the paradigm of abstraction.

  16. Eleven quick tips for architecting biomedical informatics workflows with cloud computing

    PubMed Central

    Moore, Jason H.

    2018-01-01

    Cloud computing has revolutionized the development and operations of hardware and software across diverse technological arenas, yet academic biomedical research has lagged behind despite the numerous and weighty advantages that cloud computing offers. Biomedical researchers who embrace cloud computing can reap rewards in cost reduction, decreased development and maintenance workload, increased reproducibility, ease of sharing data and software, enhanced security, horizontal and vertical scalability, high availability, a thriving technology partner ecosystem, and much more. Despite these advantages that cloud-based workflows offer, the majority of scientific software developed in academia does not utilize cloud computing and must be migrated to the cloud by the user. In this article, we present 11 quick tips for architecting biomedical informatics workflows on compute clouds, distilling knowledge gained from experience developing, operating, maintaining, and distributing software and virtualized appliances on the world’s largest cloud. Researchers who follow these tips stand to benefit immediately by migrating their workflows to cloud computing and embracing the paradigm of abstraction. PMID:29596416

  17. 77 FR 2987 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

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    2012-01-20

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical..., Ph.D., Scientific Review Officer, National Institute of Biomedical Imaging and Bioengineering...

  18. 77 FR 37684 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

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    2012-06-22

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Grossman, DDS, Scientific Review Officer, National Institute of Biomedical Imaging and Bioengineering...

  19. 78 FR 35041 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

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    2013-06-11

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...: Ruth Grossman, DDS, Scientific Review Officer, National Institute of Biomedical Imaging and...

  20. 77 FR 58146 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-09-19

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... Institute of Biomedical Imaging and Bioengineering Special Emphasis Panel; Scientific Conference Award... Officer, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, 6707...

  1. 75 FR 39547 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-09

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical..., National Institute of Biomedical Imaging and Bioengineering, 6707 Democracy Boulevard, Room 960, Bethesda...

  2. 78 FR 11660 - National Institute of Biomedical Imaging And Bioengineering; Notice of Closed Meeting

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    2013-02-19

    ... Biomedical Imaging And Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Biomedical Imaging and Bioengineering, National Institutes of Health, 6707 Democracy Boulevard, Room 959...

  3. 76 FR 58023 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

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    2011-09-19

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meetings Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical.... Hayes, PhD, Scientific Review Officer, National Institute of Biomedical Imaging and Bioengineering...

  4. 77 FR 50516 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

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    2012-08-21

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...). Contact Person: Manana Sukhareva, Ph.D., Scientific Review Officer, National Institute of Biomedical...

  5. 78 FR 77474 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-23

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical..., National Institute of Biomedical Imaging and Bioengineering, 6707 Democracy Boulevard, Suite 959, Bethesda...

  6. 78 FR 45254 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-07-26

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Person: Manana Sukhareva, Ph.D., Scientific Review Officer, National Institute of Biomedical Imaging and...

  7. 78 FR 67375 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-12

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Meeting). Contact Person: Ruth Grossman, DDS, Scientific Review Officer, National Institute of Biomedical...

  8. 77 FR 25487 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-04-30

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...: Manana Sukhareva, Ph.D., Scientific Review Officer, National Institute of Biomedical Imaging and...

  9. 76 FR 23326 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-04-26

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...). Contact Person: Manana Sukhareva, PhD, Scientific Review Officer, National Institute of Biomedical Imaging...

  10. 76 FR 10910 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-02-28

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...: Manana Sukhareva, PhD, Scientific Review Officer, National Institute of Biomedical Imaging and...

  11. 78 FR 67373 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-12

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Meeting). Contact Person: Ruth Grossman, DDS, Scientific Review Officer, National Institute of Biomedical...

  12. 75 FR 25273 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-05-07

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...: Manana Sukhareva, PhD, Scientific Review Officer, National Institute of Biomedical Imaging & Bioeng...

  13. 77 FR 17080 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-23

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Sukhareva, Ph.D., Scientific Review Officer, National Institute of Biomedical Imaging and Bioengineering...

  14. 76 FR 572 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-01-05

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Biomedical Imaging and Bioengineering, National Institutes of Health, 6707 Democracy Boulevard, Suite 959...

  15. 78 FR 54259 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

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    2013-09-03

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  16. 77 FR 27784 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-05-11

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical..., National Institute of Biomedical Imaging and Bioengineering, 6707 Democracy Boulevard, Room 960, Bethesda...

  17. 78 FR 52938 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-27

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...). Contact Person: John K. Hayes, Ph.D., Scientific Review Officer, National Institute of Biomedical Imaging...

  18. 77 FR 13347 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-06

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meetings Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical..., 301-496-4773, [email protected] . Name of Committee: National Institute of Biomedical Imaging and...

  19. 78 FR 76632 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-18

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...). Contact Person: John K. Hayes, Ph.D., Scientific Review Officer, National Institute of Biomedical Imaging...

  20. 78 FR 107 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-02

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... Biomedical Imaging and Bioengineering Special Emphasis Panel, 2013-05 ZEB1 OSR-D(M1)S/Low- Dose CT Imaging..., National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, 6707 Democracy...

  1. 77 FR 74675 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-12-17

    ... Person: Ruth Grossman, DDS, Scientific Review Officer, National Institute of Biomedical Imaging and... Person: Ruth Grossman, DDS, Scientific Review Officer, National Institute of Biomedical Imaging and...

  2. HPC AND GRID COMPUTING FOR INTEGRATIVE BIOMEDICAL RESEARCH

    PubMed Central

    Kurc, Tahsin; Hastings, Shannon; Kumar, Vijay; Langella, Stephen; Sharma, Ashish; Pan, Tony; Oster, Scott; Ervin, David; Permar, Justin; Narayanan, Sivaramakrishnan; Gil, Yolanda; Deelman, Ewa; Hall, Mary; Saltz, Joel

    2010-01-01

    Integrative biomedical research projects query, analyze, and integrate many different data types and make use of datasets obtained from measurements or simulations of structure and function at multiple biological scales. With the increasing availability of high-throughput and high-resolution instruments, the integrative biomedical research imposes many challenging requirements on software middleware systems. In this paper, we look at some of these requirements using example research pattern templates. We then discuss how middleware systems, which incorporate Grid and high-performance computing, could be employed to address the requirements. PMID:20107625

  3. 78 FR 58547 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-24

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  4. 76 FR 5593 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-02-01

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  5. 75 FR 57969 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-23

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  6. 76 FR 28795 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-05-18

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  7. 75 FR 6039 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-02-05

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  8. 78 FR 78982 - National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-27

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Institute of Biomedical Imaging and Bioengineering Special Emphasis Panel...

  9. 77 FR 2737 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-01-19

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  10. 77 FR 3480 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-01-24

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  11. 76 FR 10910 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-02-28

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  12. 76 FR 77546 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-12-13

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  13. 78 FR 42970 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-07-18

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  14. 78 FR 55268 - National Institute of Biomedical Imaging and Bioengineering Amended; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-10

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering Amended; Notice of Meeting Notice is hereby given a change in the meeting of the National Institute of Biomedical Imaging and Bioengineering Special Emphasis Panel...

  15. 78 FR 63998 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-25

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  16. 75 FR 54641 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-08

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  17. 78 FR 55268 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-10

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  18. 78 FR 71627 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-29

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical...

  19. 78 FR 64519 - National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-29

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Institute of Biomedical Imaging and Bioengineering Special Emphasis Panel, October...

  20. 78 FR 64506 - National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-29

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Institute of Biomedical Imaging and Bioengineering Special Emphasis Panel, October...

  1. 76 FR 5184 - National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-01-28

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Institute of Biomedical Imaging and Bioengineering Special Emphasis Panel, March...

  2. 78 FR 66755 - National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-06

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Institute of Biomedical Imaging and Bioengineering Special Emphasis Panel, October...

  3. 78 FR 64966 - National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-30

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting Notice is hereby given of a change in the meeting of the National Institute of Biomedical Imaging and Bioengineering Special Emphasis Panel, October...

  4. 77 FR 25488 - National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-04-30

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Amended Notice of Meeting Notice is hereby given a change in the meeting of the National Advisory Council for Biomedical Imaging and Bioengineering, May 21, 2012, 9:00 a.m...

  5. 77 FR 72365 - National Institute of Biomedical Imaging and Bioengineering; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-12-05

    ... Biomedical Imaging and Bioengineering; Notice of Meeting Pursuant to section 10(d) of the Federal Advisory... Council for Biomedical Imaging and Bioengineering. The meeting will be open to the public as indicated... of personal privacy. Name of Committee: National Advisory Council for Biomedical Imaging and...

  6. Government Cloud Computing Policies: Potential Opportunities for Advancing Military Biomedical Research.

    PubMed

    Lebeda, Frank J; Zalatoris, Jeffrey J; Scheerer, Julia B

    2018-02-07

    This position paper summarizes the development and the present status of Department of Defense (DoD) and other government policies and guidances regarding cloud computing services. Due to the heterogeneous and growing biomedical big datasets, cloud computing services offer an opportunity to mitigate the associated storage and analysis requirements. Having on-demand network access to a shared pool of flexible computing resources creates a consolidated system that should reduce potential duplications of effort in military biomedical research. Interactive, online literature searches were performed with Google, at the Defense Technical Information Center, and at two National Institutes of Health research portfolio information sites. References cited within some of the collected documents also served as literature resources. We gathered, selected, and reviewed DoD and other government cloud computing policies and guidances published from 2009 to 2017. These policies were intended to consolidate computer resources within the government and reduce costs by decreasing the number of federal data centers and by migrating electronic data to cloud systems. Initial White House Office of Management and Budget information technology guidelines were developed for cloud usage, followed by policies and other documents from the DoD, the Defense Health Agency, and the Armed Services. Security standards from the National Institute of Standards and Technology, the Government Services Administration, the DoD, and the Army were also developed. Government Services Administration and DoD Inspectors General monitored cloud usage by the DoD. A 2016 Government Accountability Office report characterized cloud computing as being economical, flexible and fast. A congressionally mandated independent study reported that the DoD was active in offering a wide selection of commercial cloud services in addition to its milCloud system. Our findings from the Department of Health and Human Services

  7. 76 FR 62814 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-10-11

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... Biomedical Imaging and Bioengineering Special Emphasis Panel, 2012-01 NIBIB R13 Conference Grant Review. Date...

  8. 75 FR 15715 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-30

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... Institute of Biomedical Imaging and Bioengineering, 6707 Democracy Boulevard, Room 960, Bethesda, MD 20892...

  9. 78 FR 66373 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-05

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical... of Biomedical Imaging and Bioengineering, 6707 Democracy Boulevard, Room 960, Bethesda, MD 20892, 301...

  10. 76 FR 53690 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-08-29

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... Biomedical Imaging and Bioengineering Special Emphasis Panel, NIBIB 2012 R25 Team Based Education. Date... Person: Ruth Grossman, DDS, Scientific Review Officer, National Institute of Biomedical Imaging and...

  11. Biomedical cloud computing with Amazon Web Services.

    PubMed

    Fusaro, Vincent A; Patil, Prasad; Gafni, Erik; Wall, Dennis P; Tonellato, Peter J

    2011-08-01

    In this overview to biomedical computing in the cloud, we discussed two primary ways to use the cloud (a single instance or cluster), provided a detailed example using NGS mapping, and highlighted the associated costs. While many users new to the cloud may assume that entry is as straightforward as uploading an application and selecting an instance type and storage options, we illustrated that there is substantial up-front effort required before an application can make full use of the cloud's vast resources. Our intention was to provide a set of best practices and to illustrate how those apply to a typical application pipeline for biomedical informatics, but also general enough for extrapolation to other types of computational problems. Our mapping example was intended to illustrate how to develop a scalable project and not to compare and contrast alignment algorithms for read mapping and genome assembly. Indeed, with a newer aligner such as Bowtie, it is possible to map the entire African genome using one m2.2xlarge instance in 48 hours for a total cost of approximately $48 in computation time. In our example, we were not concerned with data transfer rates, which are heavily influenced by the amount of available bandwidth, connection latency, and network availability. When transferring large amounts of data to the cloud, bandwidth limitations can be a major bottleneck, and in some cases it is more efficient to simply mail a storage device containing the data to AWS (http://aws.amazon.com/importexport/). More information about cloud computing, detailed cost analysis, and security can be found in references.

  12. Building the biomedical data science workforce.

    PubMed

    Dunn, Michelle C; Bourne, Philip E

    2017-07-01

    This article describes efforts at the National Institutes of Health (NIH) from 2013 to 2016 to train a national workforce in biomedical data science. We provide an analysis of the Big Data to Knowledge (BD2K) training program strengths and weaknesses with an eye toward future directions aimed at any funder and potential funding recipient worldwide. The focus is on extramurally funded programs that have a national or international impact rather than the training of NIH staff, which was addressed by the NIH's internal Data Science Workforce Development Center. From its inception, the major goal of BD2K was to narrow the gap between needed and existing biomedical data science skills. As biomedical research increasingly relies on computational, mathematical, and statistical thinking, supporting the training and education of the workforce of tomorrow requires new emphases on analytical skills. From 2013 to 2016, BD2K jump-started training in this area for all levels, from graduate students to senior researchers.

  13. Building the biomedical data science workforce

    PubMed Central

    Dunn, Michelle C.; Bourne, Philip E.

    2017-01-01

    This article describes efforts at the National Institutes of Health (NIH) from 2013 to 2016 to train a national workforce in biomedical data science. We provide an analysis of the Big Data to Knowledge (BD2K) training program strengths and weaknesses with an eye toward future directions aimed at any funder and potential funding recipient worldwide. The focus is on extramurally funded programs that have a national or international impact rather than the training of NIH staff, which was addressed by the NIH’s internal Data Science Workforce Development Center. From its inception, the major goal of BD2K was to narrow the gap between needed and existing biomedical data science skills. As biomedical research increasingly relies on computational, mathematical, and statistical thinking, supporting the training and education of the workforce of tomorrow requires new emphases on analytical skills. From 2013 to 2016, BD2K jump-started training in this area for all levels, from graduate students to senior researchers. PMID:28715407

  14. National Space Biomedical Research Institute

    NASA Technical Reports Server (NTRS)

    1999-01-01

    This report summarizes the activities of the National Space Biomedical Research Institute (NSBRI) during FY 1999, the second full year of existence of the NSBRI's research program, and is prepared in accordance with Cooperative Agreement NCC9-58 between NASA's Lyndon B. Johnson Space Center and Baylor College of Medicine (NSBRI). The report consists of progress reports on projects related to the effects of microgravity and space on physiology. The research is broken up in nine areas: (1) Bone loss, (2) Cardiovascular alterations, (3) human performance, (3) immunology, infection and hematology, (4) muscle alterations and atrophy,(5) Neurovestibular adaptation, radiation effects, (6) technology development, and (7) synergy projects.

  15. Computer Assisted Learning for Biomedical Engineering Education: Tools

    DTIC Science & Technology

    2001-10-25

    COMPUTER ASSISTED LEARNING FOR BIOMEDICAL ENGINEERING EDUCATION : TOOLS Ayhan ÝSTANBULLU1 Ýnan GÜLER2 1 Department of Electronic...of Technical Education , Gazi University, 06500 Ankara, Türkiye Abstract- Interactive multimedia learning environment is being proposed...Assisted Learning (CAL) are given and some tools used in this area are explained. Together with the developments in the area of distance education

  16. Synergies and Distinctions between Computational Disciplines in Biomedical Research: Perspective from the Clinical and Translational Science Award Programs

    PubMed Central

    Bernstam, Elmer V.; Hersh, William R.; Johnson, Stephen B.; Chute, Christopher G.; Nguyen, Hien; Sim, Ida; Nahm, Meredith; Weiner, Mark; Miller, Perry; DiLaura, Robert P.; Overcash, Marc; Lehmann, Harold P.; Eichmann, David; Athey, Brian D.; Scheuermann, Richard H.; Anderson, Nick; Starren, Justin B.; Harris, Paul A.; Smith, Jack W.; Barbour, Ed; Silverstein, Jonathan C.; Krusch, David A.; Nagarajan, Rakesh; Becich, Michael J.

    2010-01-01

    Clinical and translational research increasingly requires computation. Projects may involve multiple computationally-oriented groups including information technology (IT) professionals, computer scientists and biomedical informaticians. However, many biomedical researchers are not aware of the distinctions among these complementary groups, leading to confusion, delays and sub-optimal results. Although written from the perspective of clinical and translational science award (CTSA) programs within academic medical centers, the paper addresses issues that extend beyond clinical and translational research. The authors describe the complementary but distinct roles of operational IT, research IT, computer science and biomedical informatics using a clinical data warehouse as a running example. In general, IT professionals focus on technology. The authors distinguish between two types of IT groups within academic medical centers: central or administrative IT (supporting the administrative computing needs of large organizations) and research IT (supporting the computing needs of researchers). Computer scientists focus on general issues of computation such as designing faster computers or more efficient algorithms, rather than specific applications. In contrast, informaticians are concerned with data, information and knowledge. Biomedical informaticians draw on a variety of tools, including but not limited to computers, to solve information problems in health care and biomedicine. The paper concludes with recommendations regarding administrative structures that can help to maximize the benefit of computation to biomedical research within academic health centers. PMID:19550198

  17. Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey

    PubMed Central

    Belle, Ashwin; Kon, Mark A.; Najarian, Kayvan

    2013-01-01

    The volumes of current patient data as well as their complexity make clinical decision making more challenging than ever for physicians and other care givers. This situation calls for the use of biomedical informatics methods to process data and form recommendations and/or predictions to assist such decision makers. The design, implementation, and use of biomedical informatics systems in the form of computer-aided decision support have become essential and widely used over the last two decades. This paper provides a brief review of such systems, their application protocols and methodologies, and the future challenges and directions they suggest. PMID:23431259

  18. 78 FR 76843 - National Institute of Biomedical Imaging and Bioengineering (NIBIB) Announcement of Requirements...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-19

    ... NIBIB Design by Biomedical Undergraduate Teams (DEBUT) Challenge Authority: 15 U.S.C. 3719. SUMMARY: The National Institute of Biomedical Imaging and Bioengineering (NIBIB) DEBUT Challenge is open to teams of... students valuable experiences such as working in teams, identifying unmet clinical needs, and designing...

  19. 77 FR 54584 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-09-05

    ... Biomedical Imaging and Bioengineering; Notice of Closed Meeting Pursuant to section 10(d) of the Federal... clearly unwarranted invasion of personal privacy. Name of Committee: National Institute of Biomedical Imaging and Bioengineering Special Emphasis Panel, ZEB1 OSR-D(J2) P Tissue Engineering Resource Center...

  20. Scientific Programs and Funding Opportunities at the National Institute of Biomedical Imaging and Bioengineering

    NASA Astrophysics Data System (ADS)

    Baird, Richard

    2006-03-01

    The mission of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) is to improve human health by promoting the development and translation of emerging technologies in biomedical imaging and bioengineering. To this end, NIBIB supports a coordinated agenda of research programs in advanced imaging technologies and engineering methods that enable fundamental biomedical discoveries across a broad spectrum of biological processes, disorders, and diseases and have significant potential for direct medical application. These research programs dramatically advance the Nation's healthcare by improving the detection, management and, ultimately, the prevention of disease. The research promoted and supported by NIBIB also is strongly synergistic with other NIH Institutes and Centers as well as across government agencies. This presentation will provide an overview of the scientific programs and funding opportunities supported by NIBIB, highlighting those that are of particular important to the field of medical physics.

  1. LOCAL ORTHOGONAL CUTTING METHOD FOR COMPUTING MEDIAL CURVES AND ITS BIOMEDICAL APPLICATIONS

    PubMed Central

    Einstein, Daniel R.; Dyedov, Vladimir

    2010-01-01

    Medial curves have a wide range of applications in geometric modeling and analysis (such as shape matching) and biomedical engineering (such as morphometry and computer assisted surgery). The computation of medial curves poses significant challenges, both in terms of theoretical analysis and practical efficiency and reliability. In this paper, we propose a definition and analysis of medial curves and also describe an efficient and robust method called local orthogonal cutting (LOC) for computing medial curves. Our approach is based on three key concepts: a local orthogonal decomposition of objects into substructures, a differential geometry concept called the interior center of curvature (ICC), and integrated stability and consistency tests. These concepts lend themselves to robust numerical techniques and result in an algorithm that is efficient and noise resistant. We illustrate the effectiveness and robustness of our approach with some highly complex, large-scale, noisy biomedical geometries derived from medical images, including lung airways and blood vessels. We also present comparisons of our method with some existing methods. PMID:20628546

  2. Local Orthogonal Cutting Method for Computing Medial Curves and Its Biomedical Applications

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Jiao, Xiangmin; Einstein, Daniel R.; Dyedov, Volodymyr

    2010-03-24

    Medial curves have a wide range of applications in geometric modeling and analysis (such as shape matching) and biomedical engineering (such as morphometry and computer assisted surgery). The computation of medial curves poses significant challenges, both in terms of theoretical analysis and practical efficiency and reliability. In this paper, we propose a definition and analysis of medial curves and also describe an efficient and robust method for computing medial curves. Our approach is based on three key concepts: a local orthogonal decomposition of objects into substructures, a differential geometry concept called the interior center of curvature (ICC), and integrated stabilitymore » and consistency tests. These concepts lend themselves to robust numerical techniques including eigenvalue analysis, weighted least squares approximations, and numerical minimization, resulting in an algorithm that is efficient and noise resistant. We illustrate the effectiveness and robustness of our approach with some highly complex, large-scale, noisy biomedical geometries derived from medical images, including lung airways and blood vessels. We also present comparisons of our method with some existing methods.« less

  3. Lensfree Computational Microscopy Tools and their Biomedical Applications

    NASA Astrophysics Data System (ADS)

    Sencan, Ikbal

    Conventional microscopy has been a revolutionary tool for biomedical applications since its invention several centuries ago. Ability to non-destructively observe very fine details of biological objects in real time enabled to answer many important questions about their structures and functions. Unfortunately, most of these advance microscopes are complex, bulky, expensive, and/or hard to operate, so they could not reach beyond the walls of well-equipped laboratories. Recent improvements in optoelectronic components and computational methods allow creating imaging systems that better fulfill the specific needs of clinics or research related biomedical applications. In this respect, lensfree computational microscopy aims to replace bulky and expensive optical components with compact and cost-effective alternatives through the use of computation, which can be particularly useful for lab-on-a-chip platforms as well as imaging applications in low-resource settings. Several high-throughput on-chip platforms are built with this approach for applications including, but not limited to, cytometry, micro-array imaging, rare cell analysis, telemedicine, and water quality screening. The lack of optical complexity in these lensfree on-chip imaging platforms is compensated by using computational techniques. These computational methods are utilized for various purposes in coherent, incoherent and fluorescent on-chip imaging platforms e.g. improving the spatial resolution, to undo the light diffraction without using lenses, localization of objects in a large volume and retrieval of the phase or the color/spectral content of the objects. For instance, pixel super resolution approaches based on source shifting are used in lensfree imaging platforms to prevent under sampling, Bayer pattern, and aliasing artifacts. Another method, iterative phase retrieval, is utilized to compensate the lack of lenses by undoing the diffraction and removing the twin image noise of in-line holograms

  4. National Space Biomedical Research Institute

    NASA Technical Reports Server (NTRS)

    2005-01-01

    NSBRI partners with NASA to develop countermeasures against the deleterious effects of long duration space flight. NSBRI's science and technology projects are directed toward this goal, which is accomplished by: 1. Designing, testing and validating effective countermeasures to address the biological and environmental impediments to long-term human space flight. 2. Defining the molecular, cellular, organ-level, integrated responses and mechanistic relationships that ultimately determine these impediments, where such activity fosters the development of novel countermeasures. 3. Establishing biomedical support technologies to maximize human performance in space, reduce biomedical hazards to an acceptable level and deliver quality medical care. 4. Transferring and disseminating the biomedical advances in knowledge and technology acquired through living and working in space to the general benefit of humankind; including the treatment of patients suffering from gravity- and radiation-related conditions on Earth. and 5. ensuring open involvement of the scientific community,industry and the public in the Institute's activities and fostering a robust collaboration with NASA, particularly through JSC.

  5. Size and characteristics of the biomedical research workforce associated with U.S. National Institutes of Health extramural grants

    PubMed Central

    Pool, Lindsay R.; Wagner, Robin M.; Scott, Lindsey L.; RoyChowdhury, Deepshikha; Berhane, Rediet; Wu, Charles; Pearson, Katrina; Sutton, Jennifer A.; Schaffer, Walter T.

    2016-01-01

    The U.S. National Institutes of Health (NIH) annually invests approximately $22 billion in biomedical research through its extramural grant programs. Since fiscal year (FY) 2010, all persons involved in research during the previous project year have been required to be listed on the annual grant progress report. These new data have enabled the production of the first-ever census of the NIH-funded extramural research workforce. Data were extracted from All Personnel Reports submitted for NIH grants funded in FY 2009, including position title, months of effort, academic degrees obtained, and personal identifiers. Data were de-duplicated to determine a unique person count. Person-years of effort (PYE) on NIH grants were computed. In FY 2009, NIH funded 50,885 grant projects, which created 313,049 full- and part-time positions spanning all job functions involved in biomedical research. These positions were staffed by 247,457 people at 2,604 institutions. These persons devoted 121,465 PYE to NIH grant-supported research. Research project grants each supported 6 full- or part-time positions, on average. Over 20% of positions were occupied by postdoctoral researchers and graduate and undergraduate students. These baseline data were used to project workforce estimates for FYs 2010–2014 and will serve as a foundation for future research.—Pool, L. R., Wagner, R. M., Scott, L. L., RoyChowdhury, D., Berhane, R., Wu, C., Pearson, K., Sutton, J. A., Schaffer, W. T. Size and characteristics of the biomedical research workforce associated with U.S. National Institutes of Health extramural grants. PMID:26625903

  6. 78 FR 3903 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meetings

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-17

    ... Hilton Hotel Tarrytown, 455 South Broadway, Tarrytown, NY 10591. Contact Person: Ruth Grossman, DDS.... Contact Person: Ruth Grossman, DDS, Scientific Review Officer, National Institute of Biomedical Imaging...

  7. The National Biomedical Communications Network as a Developing Structure *

    PubMed Central

    Davis, Ruth M.

    1971-01-01

    The National Biomedical Communications Network has evolved both from a set of conceptual recommendations over the last twelve years and an accumulation of needs manifesting themselves in the requests of members of the medical community. With a short history of three years this network and its developing structure have exhibited most of the stresses of technology interfacing with customer groups, and of a structure attempting to build itself upon many existing fragmentary unconnected segments of a potentially viable resourcesharing capability. In addition to addressing these topics, the paper treats a design appropriate to any network devoted to information transfer in a special interest user community. It discusses fundamentals of network design, highlighting that network structure most appropriate to a national information network. Examples are given of cost analyses of information services and certain conjectures are offered concerning the roles of national networks. PMID:5542912

  8. Overview of the biomedical and environmental programs at the Oak Ridge National Laboratory. [Lead abstract

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Pfuderer, H.A.; Moody, J.B.

    Separate abstracts were prepared for each of the 6 chapters presented by the six divisions involved in the Biomedical and Environmental Sciences Program at Oak Ridge National Laboratory. The introduction is not covered by an abstract and deals with the environmental, health and safety considerations of energy technology decisions, the major initiatives now being taken by these 6 divisions, and recent major accomplishments in the biomedical and environmental science program. (KRM)

  9. Biomedical and environmental sciences programs at the Oak Ridge National Laboratory

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Richmond, C.R.; Johnson, C.A.

    1988-02-01

    This progress report summarizes the research and development activities conducted in the Biomedical and Environmental Sciences Programs of Oak Ridge National Laboratory. The report is structured to provide descriptions of current activities and accomplishments in each of the major organizational units. Following the accounts of research programs, is a list of publications and awards to its members. 6 figs., 14 tabs.

  10. Analysis of Uncertainty and Variability in Finite Element Computational Models for Biomedical Engineering: Characterization and Propagation

    PubMed Central

    Mangado, Nerea; Piella, Gemma; Noailly, Jérôme; Pons-Prats, Jordi; Ballester, Miguel Ángel González

    2016-01-01

    Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known, and variability is inherent in living organisms. To cope with this, probabilistic tools, statistical analysis and stochastic approaches have been used. This article aims to review the analysis of uncertainty and variability in the context of finite element modeling in biomedical engineering. Characterization techniques and propagation methods are presented, as well as examples of their applications in biomedical finite element simulations. Uncertainty propagation methods, both non-intrusive and intrusive, are described. Finally, pros and cons of the different approaches and their use in the scientific community are presented. This leads us to identify future directions for research and methodological development of uncertainty modeling in biomedical engineering. PMID:27872840

  11. Analysis of Uncertainty and Variability in Finite Element Computational Models for Biomedical Engineering: Characterization and Propagation.

    PubMed

    Mangado, Nerea; Piella, Gemma; Noailly, Jérôme; Pons-Prats, Jordi; Ballester, Miguel Ángel González

    2016-01-01

    Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known, and variability is inherent in living organisms. To cope with this, probabilistic tools, statistical analysis and stochastic approaches have been used. This article aims to review the analysis of uncertainty and variability in the context of finite element modeling in biomedical engineering. Characterization techniques and propagation methods are presented, as well as examples of their applications in biomedical finite element simulations. Uncertainty propagation methods, both non-intrusive and intrusive, are described. Finally, pros and cons of the different approaches and their use in the scientific community are presented. This leads us to identify future directions for research and methodological development of uncertainty modeling in biomedical engineering.

  12. A Roadmap for caGrid, an Enterprise Grid Architecture for Biomedical Research

    PubMed Central

    Saltz, Joel; Hastings, Shannon; Langella, Stephen; Oster, Scott; Kurc, Tahsin; Payne, Philip; Ferreira, Renato; Plale, Beth; Goble, Carole; Ervin, David; Sharma, Ashish; Pan, Tony; Permar, Justin; Brezany, Peter; Siebenlist, Frank; Madduri, Ravi; Foster, Ian; Shanbhag, Krishnakant; Mead, Charlie; Hong, Neil Chue

    2012-01-01

    caGrid is a middleware system which combines the Grid computing, the service oriented architecture, and the model driven architecture paradigms to support development of interoperable data and analytical resources and federation of such resources in a Grid environment. The functionality provided by caGrid is an essential and integral component of the cancer Biomedical Informatics Grid (caBIG™) program. This program is established by the National Cancer Institute as a nationwide effort to develop enabling informatics technologies for collaborative, multi-institutional biomedical research with the overarching goal of accelerating translational cancer research. Although the main application domain for caGrid is cancer research, the infrastructure provides a generic framework that can be employed in other biomedical research and healthcare domains. The development of caGrid is an ongoing effort, adding new functionality and improvements based on feedback and use cases from the community. This paper provides an overview of potential future architecture and tooling directions and areas of improvement for caGrid and caGrid-like systems. This summary is based on discussions at a roadmap workshop held in February with participants from biomedical research, Grid computing, and high performance computing communities. PMID:18560123

  13. A roadmap for caGrid, an enterprise Grid architecture for biomedical research.

    PubMed

    Saltz, Joel; Hastings, Shannon; Langella, Stephen; Oster, Scott; Kurc, Tahsin; Payne, Philip; Ferreira, Renato; Plale, Beth; Goble, Carole; Ervin, David; Sharma, Ashish; Pan, Tony; Permar, Justin; Brezany, Peter; Siebenlist, Frank; Madduri, Ravi; Foster, Ian; Shanbhag, Krishnakant; Mead, Charlie; Chue Hong, Neil

    2008-01-01

    caGrid is a middleware system which combines the Grid computing, the service oriented architecture, and the model driven architecture paradigms to support development of interoperable data and analytical resources and federation of such resources in a Grid environment. The functionality provided by caGrid is an essential and integral component of the cancer Biomedical Informatics Grid (caBIG) program. This program is established by the National Cancer Institute as a nationwide effort to develop enabling informatics technologies for collaborative, multi-institutional biomedical research with the overarching goal of accelerating translational cancer research. Although the main application domain for caGrid is cancer research, the infrastructure provides a generic framework that can be employed in other biomedical research and healthcare domains. The development of caGrid is an ongoing effort, adding new functionality and improvements based on feedback and use cases from the community. This paper provides an overview of potential future architecture and tooling directions and areas of improvement for caGrid and caGrid-like systems. This summary is based on discussions at a roadmap workshop held in February with participants from biomedical research, Grid computing, and high performance computing communities.

  14. 78 FR 76634 - National Institute of Biomedical Imaging and Bioengineering; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-18

    ... such as patentable material, and personal information concerning individuals associated with the grant... of personal privacy. Name of Committee: National Advisory Council for Biomedical Imaging and..., Bethesda, MD 20892. Any interested person may file written comments with the committee by forwarding the...

  15. 75 FR 76019 - National Institute of Biomedical Imaging and Bioengineering; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-07

    ... strategic plan. Place: Bethesda Marriott Suites, 6711 Democracy Boulevard, Independence Room (2nd Level... proposals. Place: Bethesda Marriott Suites, 6711 Democracy Boulevard, Independence Room (2nd Level), Bethesda, MD 20817. Contact Person: Anthony Demsey, PhD, Director, National Institute of Biomedical Imaging...

  16. Opal web services for biomedical applications.

    PubMed

    Ren, Jingyuan; Williams, Nadya; Clementi, Luca; Krishnan, Sriram; Li, Wilfred W

    2010-07-01

    Biomedical applications have become increasingly complex, and they often require large-scale high-performance computing resources with a large number of processors and memory. The complexity of application deployment and the advances in cluster, grid and cloud computing require new modes of support for biomedical research. Scientific Software as a Service (sSaaS) enables scalable and transparent access to biomedical applications through simple standards-based Web interfaces. Towards this end, we built a production web server (http://ws.nbcr.net) in August 2007 to support the bioinformatics application called MEME. The server has grown since to include docking analysis with AutoDock and AutoDock Vina, electrostatic calculations using PDB2PQR and APBS, and off-target analysis using SMAP. All the applications on the servers are powered by Opal, a toolkit that allows users to wrap scientific applications easily as web services without any modification to the scientific codes, by writing simple XML configuration files. Opal allows both web forms-based access and programmatic access of all our applications. The Opal toolkit currently supports SOAP-based Web service access to a number of popular applications from the National Biomedical Computation Resource (NBCR) and affiliated collaborative and service projects. In addition, Opal's programmatic access capability allows our applications to be accessed through many workflow tools, including Vision, Kepler, Nimrod/K and VisTrails. From mid-August 2007 to the end of 2009, we have successfully executed 239,814 jobs. The number of successfully executed jobs more than doubled from 205 to 411 per day between 2008 and 2009. The Opal-enabled service model is useful for a wide range of applications. It provides for interoperation with other applications with Web Service interfaces, and allows application developers to focus on the scientific tool and workflow development. Web server availability: http://ws.nbcr.net.

  17. What is biomedical informatics?

    PubMed Central

    Bernstam, Elmer V.; Smith, Jack W.; Johnson, Todd R.

    2009-01-01

    Biomedical informatics lacks a clear and theoretically grounded definition. Many proposed definitions focus on data, information, and knowledge, but do not provide an adequate definition of these terms. Leveraging insights from the philosophy of information, we define informatics as the science of information, where information is data plus meaning. Biomedical informatics is the science of information as applied to or studied in the context of biomedicine. Defining the object of study of informatics as data plus meaning clearly distinguishes the field from related fields, such as computer science, statistics and biomedicine, which have different objects of study. The emphasis on data plus meaning also suggests that biomedical informatics problems tend to be difficult when they deal with concepts that are hard to capture using formal, computational definitions. In other words, problems where meaning must be considered are more difficult than problems where manipulating data without regard for meaning is sufficient. Furthermore, the definition implies that informatics research, teaching, and service should focus on biomedical information as data plus meaning rather than only computer applications in biomedicine. PMID:19683067

  18. [Computers in biomedical research: I. Analysis of bioelectrical signals].

    PubMed

    Vivaldi, E A; Maldonado, P

    2001-08-01

    A personal computer equipped with an analog-to-digital conversion card is able to input, store and display signals of biomedical interest. These signals can additionally be submitted to ad-hoc software for analysis and diagnosis. Data acquisition is based on the sampling of a signal at a given rate and amplitude resolution. The automation of signal processing conveys syntactic aspects (data transduction, conditioning and reduction); and semantic aspects (feature extraction to describe and characterize the signal and diagnostic classification). The analytical approach that is at the basis of computer programming allows for the successful resolution of apparently complex tasks. Two basic principles involved are the definition of simple fundamental functions that are then iterated and the modular subdivision of tasks. These two principles are illustrated, respectively, by presenting the algorithm that detects relevant elements for the analysis of a polysomnogram, and the task flow in systems that automate electrocardiographic reports.

  19. National Biomedical Tracer Facility: Project definition study

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Heaton, R.; Peterson, E.; Smith, P.

    The Los Alamos National Laboratory is an ideal institution and New Mexico is an ideal location for siting the National Biomedical Tracer Facility (NBTF). The essence of the Los Alamos proposal is the development of two complementary irradiation facilities that combined with our existing radiochemical processing hot cell facilities and waste handling and disposal facilities provide a low cost alternative to other proposals that seek to satisfy the objectives of the NBTF. We propose the construction of a 30 MeV cyclotron facility at the site of the radiochemical facilities, and the construction of a 100 MeV target station at LAMPFmore » to satisfy the requirements and objectives of the NBTF. We do not require any modifications to our existing radiochemical processing hot cell facilities or our waste treatment and disposal facilities to accomplish the objectives of the NBTF. The total capital cost for the facility defined by the project definition study is $15.2 M. This cost estimate includes $9.9 M for the cyclotron and associated facility, $2.0 M for the 100 MeV target station at LAMPF, and $3.3 M for design.« less

  20. Arab nations lagging behind other Middle Eastern countries in biomedical research: a comparative study

    PubMed Central

    2009-01-01

    Background Analysis of biomedical research and publications in a country or group of countries is used to monitor research progress and trends. This study aims to assess the performance of biomedical research in the Arab world during 2001–2005 and to compare it with other Middle Eastern non-Arab countries. Methods PubMed and Science Citation Index Expanded (SCI-expanded) were searched systematically for the original biomedical research publications and their citation frequencies of 16 Arab nations and three non-Arab Middle Eastern countries (Iran, Israel and Turkey), all of which are classified as middle or high income countries. Results The 16 Arab countries together have 5775 and 14,374 original research articles listed by PubMed and SCI-expanded, respectively, significantly less (p < 0.001) than the other three Middle Eastern countries (25,643 and 49,110). The Arab countries also scored less when the data were normalized to population, gross domestic product (GDP), and GDP/capita. The publications from the Arab countries also have a significantly lower (p < 0.001) citation frequency. Conclusion The Arab world is producing fewer biomedical publications of lower quality than other Middle Eastern countries. Studies are needed to clarify the causes and to propose strategies to improve the biomedical research status in Arab countries. PMID:19374747

  1. 76 FR 69748 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-11-09

    ... Grossman, DDS, Scientific Review Officer, National Institute of Biomedical Imagin and Bioengineering... Bethesda Metro Station, Bethesda, MD 20814. Contact Person: Ruth Grossman, DDS, Scientific Review Officer...Continental Chicago, 505 North Michigan Avenue, Chicago, IL. Contact Person: Ruth Grossman, DDS, Scientific...

  2. Mediator infrastructure for information integration and semantic data integration environment for biomedical research.

    PubMed

    Grethe, Jeffrey S; Ross, Edward; Little, David; Sanders, Brian; Gupta, Amarnath; Astakhov, Vadim

    2009-01-01

    This paper presents current progress in the development of semantic data integration environment which is a part of the Biomedical Informatics Research Network (BIRN; http://www.nbirn.net) project. BIRN is sponsored by the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH). A goal is the development of a cyberinfrastructure for biomedical research that supports advance data acquisition, data storage, data management, data integration, data mining, data visualization, and other computing and information processing services over the Internet. Each participating institution maintains storage of their experimental or computationally derived data. Mediator-based data integration system performs semantic integration over the databases to enable researchers to perform analyses based on larger and broader datasets than would be available from any single institution's data. This paper describes recent revision of the system architecture, implementation, and capabilities of the semantically based data integration environment for BIRN.

  3. National Biomedical Tracer Facility. Project definition study

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Schafer, R.

    We request a $25 million government-guaranteed, interest-free loan to be repaid over a 30-year period for construction and initial operations of a cyclotron-based National Biomedical Tracer Facility (NBTF) in North Central Texas. The NBTF will be co-located with a linear accelerator-based commercial radioisotope production facility, funded by the private sector at approximately $28 million. In addition, research radioisotope production by the NBTF will be coordinated through an association with an existing U.S. nuclear reactor center that will produce research and commercial radioisotopes through neutron reactions. The combined facilities will provide the full range of technology for radioisotope production and research:more » fast neutrons, thermal neutrons, and particle beams (H{sup -}, H{sup +}, and D{sup +}). The proposed NBTF facility includes an 80 MeV, 1 mA H{sup -} cyclotron that will produce proton-induced (neutron deficient) research isotopes.« less

  4. 75 FR 35820 - National Institute of Biomedical Imaging and Bioengineering; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-06-23

    ... Imaging and Bioengineering Special Emphasis Panel Decision Support Systems and Comparative Effectiveness Research (ARRA). Date: July 23, 2010. Time: 12 p.m. to 5 p.m. Agenda: To review and evaluate grant... Assistance Program Nos. 93.701, ARRA Related Biomedical Research and Research Support Awards, National...

  5. Biomedical image analysis and processing in clouds

    NASA Astrophysics Data System (ADS)

    Bednarz, Tomasz; Szul, Piotr; Arzhaeva, Yulia; Wang, Dadong; Burdett, Neil; Khassapov, Alex; Chen, Shiping; Vallotton, Pascal; Lagerstrom, Ryan; Gureyev, Tim; Taylor, John

    2013-10-01

    Cloud-based Image Analysis and Processing Toolbox project runs on the Australian National eResearch Collaboration Tools and Resources (NeCTAR) cloud infrastructure and allows access to biomedical image processing and analysis services to researchers via remotely accessible user interfaces. By providing user-friendly access to cloud computing resources and new workflow-based interfaces, our solution enables researchers to carry out various challenging image analysis and reconstruction tasks. Several case studies will be presented during the conference.

  6. Credibility Assessment of Deterministic Computational Models and Simulations for Space Biomedical Research and Operations

    NASA Technical Reports Server (NTRS)

    Mulugeta, Lealem; Walton, Marlei; Nelson, Emily; Myers, Jerry

    2015-01-01

    Human missions beyond low earth orbit to destinations, such as to Mars and asteroids will expose astronauts to novel operational conditions that may pose health risks that are currently not well understood and perhaps unanticipated. In addition, there are limited clinical and research data to inform development and implementation of health risk countermeasures for these missions. Consequently, NASA's Digital Astronaut Project (DAP) is working to develop and implement computational models and simulations (M&S) to help predict and assess spaceflight health and performance risks, and enhance countermeasure development. In order to effectively accomplish these goals, the DAP evaluates its models and simulations via a rigorous verification, validation and credibility assessment process to ensure that the computational tools are sufficiently reliable to both inform research intended to mitigate potential risk as well as guide countermeasure development. In doing so, DAP works closely with end-users, such as space life science researchers, to establish appropriate M&S credibility thresholds. We will present and demonstrate the process the DAP uses to vet computational M&S for space biomedical analysis using real M&S examples. We will also provide recommendations on how the larger space biomedical community can employ these concepts to enhance the credibility of their M&S codes.

  7. Biomedical data integration in computational drug design and bioinformatics.

    PubMed

    Seoane, Jose A; Aguiar-Pulido, Vanessa; Munteanu, Cristian R; Rivero, Daniel; Rabunal, Juan R; Dorado, Julian; Pazos, Alejandro

    2013-03-01

    In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real challenge is to analyze all this data, as a whole, after integrating it. Biomedical data integration enables making queries to different, heterogeneous and distributed biomedical data sources. Data integration solutions can be very useful not only in the context of drug design, but also in biomedical information retrieval, clinical diagnosis, system biology, etc. In this review, we analyze the most common approaches to biomedical data integration, such as federated databases, data warehousing, multi-agent systems and semantic technology, as well as the solutions developed using these approaches in the past few years.

  8. Federal inventory of energy-related biomedical and environmental research for FY 1974 and FY 1975. [TVA, NASA, National Institutes of Health, National Institute for Occupational Safety and Health

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Not Available

    1975-10-01

    Brief summaries are presented of energy-related biomedical and environmental research studies during 1974 and 1975 sponsored by the Tennessee Valley Authority, National Aeronautics and Space Administration, National Institutes of Health, and the National Institute for Occupational Safety and Health. (CH)

  9. Biomedical informatics training at the University of Wisconsin-Madison.

    PubMed

    Severtson, D J; Pape, L; Page, C D; Shavlik, J W; Phillips, G N; Flatley Brennan, P

    2007-01-01

    The purpose of this paper is to describe biomedical informatics training at the University of Wisconsin-Madison (UW-Madison). We reviewed biomedical informatics training, research, and faculty/trainee participation at UW-Madison. There are three primary approaches to training 1) The Computation & Informatics in Biology & Medicine Training Program, 2) formal biomedical informatics offered by various campus departments, and 3) individualized programs. Training at UW-Madison embodies the features of effective biomedical informatics training recommended by the American College of Medical Informatics that were delineated as: 1) curricula that integrate experiences among computational sciences and application domains, 2) individualized and interdisciplinary cross-training among a diverse cadre of trainees to develop key competencies that he or she does not initially possess, 3) participation in research and development activities, and 4) exposure to a range of basic informational and computational sciences. The three biomedical informatics training approaches immerse students in multidisciplinary training and education that is supported by faculty trainers who participate in collaborative research across departments. Training is provided across a range of disciplines and available at different training stages. Biomedical informatics training at UW-Madison illustrates how a large research University, with multiple departments across biological, computational and health fields, can provide effective and productive biomedical informatics training via multiple bioinformatics training approaches.

  10. Effective use of latent semantic indexing and computational linguistics in biological and biomedical applications.

    PubMed

    Chen, Hongyu; Martin, Bronwen; Daimon, Caitlin M; Maudsley, Stuart

    2013-01-01

    Text mining is rapidly becoming an essential technique for the annotation and analysis of large biological data sets. Biomedical literature currently increases at a rate of several thousand papers per week, making automated information retrieval methods the only feasible method of managing this expanding corpus. With the increasing prevalence of open-access journals and constant growth of publicly-available repositories of biomedical literature, literature mining has become much more effective with respect to the extraction of biomedically-relevant data. In recent years, text mining of popular databases such as MEDLINE has evolved from basic term-searches to more sophisticated natural language processing techniques, indexing and retrieval methods, structural analysis and integration of literature with associated metadata. In this review, we will focus on Latent Semantic Indexing (LSI), a computational linguistics technique increasingly used for a variety of biological purposes. It is noted for its ability to consistently outperform benchmark Boolean text searches and co-occurrence models at information retrieval and its power to extract indirect relationships within a data set. LSI has been used successfully to formulate new hypotheses, generate novel connections from existing data, and validate empirical data.

  11. Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support

    PubMed Central

    Bodenreider, O.

    2008-01-01

    Summary Objectives To provide typical examples of biomedical ontologies in action, emphasizing the role played by biomedical ontologies in knowledge management, data integration and decision support. Methods Biomedical ontologies selected for their practical impact are examined from a functional perspective. Examples of applications are taken from operational systems and the biomedical literature, with a bias towards recent journal articles. Results The ontologies under investigation in this survey include SNOMED CT, the Logical Observation Identifiers, Names, and Codes (LOINC), the Foundational Model of Anatomy, the Gene Ontology, RxNorm, the National Cancer Institute Thesaurus, the International Classification of Diseases, the Medical Subject Headings (MeSH) and the Unified Medical Language System (UMLS). The roles played by biomedical ontologies are classified into three major categories: knowledge management (indexing and retrieval of data and information, access to information, mapping among ontologies); data integration, exchange and semantic interoperability; and decision support and reasoning (data selection and aggregation, decision support, natural language processing applications, knowledge discovery). Conclusions Ontologies play an important role in biomedical research through a variety of applications. While ontologies are used primarily as a source of vocabulary for standardization and integration purposes, many applications also use them as a source of computable knowledge. Barriers to the use of ontologies in biomedical applications are discussed. PMID:18660879

  12. Frontiers in biomedical engineering and biotechnology.

    PubMed

    Liu, Feng; Goodarzi, Ali; Wang, Haifeng; Stasiak, Joanna; Sun, Jianbo; Zhou, Yu

    2014-01-01

    The 2nd International Conference on Biomedical Engineering and Biotechnology (iCBEB 2013), held in Wuhan on 11–13 October 2013, is an annual conference that aims at providing an opportunity for international and national researchers and practitioners to present the most recent advances and future challenges in the fields of Biomedical Information, Biomedical Engineering and Biotechnology. The papers published by this issue are selected from this conference, which witnesses the frontier in the field of Biomedical Engineering and Biotechnology, which particularly has helped improving the level of clinical diagnosis in medical work.

  13. An information technology emphasis in biomedical informatics education.

    PubMed

    Kane, Michael D; Brewer, Jeffrey L

    2007-02-01

    Unprecedented growth in the interdisciplinary domain of biomedical informatics reflects the recent advancements in genomic sequence availability, high-content biotechnology screening systems, as well as the expectations of computational biology to command a leading role in drug discovery and disease characterization. These forces have moved much of life sciences research almost completely into the computational domain. Importantly, educational training in biomedical informatics has been limited to students enrolled in the life sciences curricula, yet much of the skills needed to succeed in biomedical informatics involve or augment training in information technology curricula. This manuscript describes the methods and rationale for training students enrolled in information technology curricula in the field of biomedical informatics, which augments the existing information technology curriculum and provides training on specific subjects in Biomedical Informatics not emphasized in bioinformatics courses offered in life science programs, and does not require prerequisite courses in the life sciences.

  14. Ontology-Oriented Programming for Biomedical Informatics.

    PubMed

    Lamy, Jean-Baptiste

    2016-01-01

    Ontologies are now widely used in the biomedical domain. However, it is difficult to manipulate ontologies in a computer program and, consequently, it is not easy to integrate ontologies with databases or websites. Two main approaches have been proposed for accessing ontologies in a computer program: traditional API (Application Programming Interface) and ontology-oriented programming, either static or dynamic. In this paper, we will review these approaches and discuss their appropriateness for biomedical ontologies. We will also present an experience feedback about the integration of an ontology in a computer software during the VIIIP research project. Finally, we will present OwlReady, the solution we developed.

  15. Camera systems in human motion analysis for biomedical applications

    NASA Astrophysics Data System (ADS)

    Chin, Lim Chee; Basah, Shafriza Nisha; Yaacob, Sazali; Juan, Yeap Ewe; Kadir, Aida Khairunnisaa Ab.

    2015-05-01

    Human Motion Analysis (HMA) system has been one of the major interests among researchers in the field of computer vision, artificial intelligence and biomedical engineering and sciences. This is due to its wide and promising biomedical applications, namely, bio-instrumentation for human computer interfacing and surveillance system for monitoring human behaviour as well as analysis of biomedical signal and image processing for diagnosis and rehabilitation applications. This paper provides an extensive review of the camera system of HMA, its taxonomy, including camera types, camera calibration and camera configuration. The review focused on evaluating the camera system consideration of the HMA system specifically for biomedical applications. This review is important as it provides guidelines and recommendation for researchers and practitioners in selecting a camera system of the HMA system for biomedical applications.

  16. Current trends for customized biomedical software tools.

    PubMed

    Khan, Haseeb Ahmad

    2017-01-01

    In the past, biomedical scientists were solely dependent on expensive commercial software packages for various applications. However, the advent of user-friendly programming languages and open source platforms has revolutionized the development of simple and efficient customized software tools for solving specific biomedical problems. Many of these tools are designed and developed by biomedical scientists independently or with the support of computer experts and often made freely available for the benefit of scientific community. The current trends for customized biomedical software tools are highlighted in this short review.

  17. Biomedical ontologies: toward scientific debate.

    PubMed

    Maojo, V; Crespo, J; García-Remesal, M; de la Iglesia, D; Perez-Rey, D; Kulikowski, C

    2011-01-01

    Biomedical ontologies have been very successful in structuring knowledge for many different applications, receiving widespread praise for their utility and potential. Yet, the role of computational ontologies in scientific research, as opposed to knowledge management applications, has not been extensively discussed. We aim to stimulate further discussion on the advantages and challenges presented by biomedical ontologies from a scientific perspective. We review various aspects of biomedical ontologies going beyond their practical successes, and focus on some key scientific questions in two ways. First, we analyze and discuss current approaches to improve biomedical ontologies that are based largely on classical, Aristotelian ontological models of reality. Second, we raise various open questions about biomedical ontologies that require further research, analyzing in more detail those related to visual reasoning and spatial ontologies. We outline significant scientific issues that biomedical ontologies should consider, beyond current efforts of building practical consensus between them. For spatial ontologies, we suggest an approach for building "morphospatial" taxonomies, as an example that could stimulate research on fundamental open issues for biomedical ontologies. Analysis of a large number of problems with biomedical ontologies suggests that the field is very much open to alternative interpretations of current work, and in need of scientific debate and discussion that can lead to new ideas and research directions.

  18. Enabling Large-Scale Biomedical Analysis in the Cloud

    PubMed Central

    Lin, Ying-Chih; Yu, Chin-Sheng; Lin, Yen-Jen

    2013-01-01

    Recent progress in high-throughput instrumentations has led to an astonishing growth in both volume and complexity of biomedical data collected from various sources. The planet-size data brings serious challenges to the storage and computing technologies. Cloud computing is an alternative to crack the nut because it gives concurrent consideration to enable storage and high-performance computing on large-scale data. This work briefly introduces the data intensive computing system and summarizes existing cloud-based resources in bioinformatics. These developments and applications would facilitate biomedical research to make the vast amount of diversification data meaningful and usable. PMID:24288665

  19. Patient identity management for secondary use of biomedical research data in a distributed computing environment.

    PubMed

    Nitzlnader, Michael; Schreier, Günter

    2014-01-01

    Dealing with data from different source domains is of increasing importance in today's large scale biomedical research endeavours. Within the European Network for Cancer research in Children and Adolescents (ENCCA) a solution to share such data for secondary use will be established. In this paper the solution arising from the aims of the ENCCA project and regulatory requirements concerning data protection and privacy is presented. Since the details of secondary biomedical dataset utilisation are often not known in advance, data protection regulations are met with an identity management concept that facilitates context-specific pseudonymisation and a way of data aggregation using a hidden reference table later on. Phonetic hashing is proposed to prevent duplicated patient registration and re-identification of patients is possible via a trusted third party only. Finally, the solution architecture allows for implementation in a distributed computing environment, including cloud-based elements.

  20. Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics

    PubMed Central

    Dutta-Moscato, Joyeeta; Gopalakrishnan, Vanathi; Lotze, Michael T.; Becich, Michael J.

    2014-01-01

    This editorial provides insights into how informatics can attract highly trained students by involving them in science, technology, engineering, and math (STEM) training at the high school level and continuing to provide mentorship and research opportunities through the formative years of their education. Our central premise is that the trajectory necessary to be expert in the emergent fields in front of them requires acceleration at an early time point. Both pathology (and biomedical) informatics are new disciplines which would benefit from involvement by students at an early stage of their education. In 2009, Michael T Lotze MD, Kirsten Livesey (then a medical student, now a medical resident at University of Pittsburgh Medical Center (UPMC)), Richard Hersheberger, PhD (Currently, Dean at Roswell Park), and Megan Seippel, MS (the administrator) launched the University of Pittsburgh Cancer Institute (UPCI) Summer Academy to bring high school students for an 8 week summer academy focused on Cancer Biology. Initially, pathology and biomedical informatics were involved only in the classroom component of the UPCI Summer Academy. In 2011, due to popular interest, an informatics track called Computer Science, Biology and Biomedical Informatics (CoSBBI) was launched. CoSBBI currently acts as a feeder program for the undergraduate degree program in bioinformatics at the University of Pittsburgh, which is a joint degree offered by the Departments of Biology and Computer Science. We believe training in bioinformatics is the best foundation for students interested in future careers in pathology informatics or biomedical informatics. We describe our approach to the recruitment, training and research mentoring of high school students to create a pipeline of exceptionally well-trained applicants for both the disciplines of pathology informatics and biomedical informatics. We emphasize here how mentoring of high school students in pathology informatics and biomedical informatics

  1. Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics.

    PubMed

    Dutta-Moscato, Joyeeta; Gopalakrishnan, Vanathi; Lotze, Michael T; Becich, Michael J

    2014-01-01

    This editorial provides insights into how informatics can attract highly trained students by involving them in science, technology, engineering, and math (STEM) training at the high school level and continuing to provide mentorship and research opportunities through the formative years of their education. Our central premise is that the trajectory necessary to be expert in the emergent fields in front of them requires acceleration at an early time point. Both pathology (and biomedical) informatics are new disciplines which would benefit from involvement by students at an early stage of their education. In 2009, Michael T Lotze MD, Kirsten Livesey (then a medical student, now a medical resident at University of Pittsburgh Medical Center (UPMC)), Richard Hersheberger, PhD (Currently, Dean at Roswell Park), and Megan Seippel, MS (the administrator) launched the University of Pittsburgh Cancer Institute (UPCI) Summer Academy to bring high school students for an 8 week summer academy focused on Cancer Biology. Initially, pathology and biomedical informatics were involved only in the classroom component of the UPCI Summer Academy. In 2011, due to popular interest, an informatics track called Computer Science, Biology and Biomedical Informatics (CoSBBI) was launched. CoSBBI currently acts as a feeder program for the undergraduate degree program in bioinformatics at the University of Pittsburgh, which is a joint degree offered by the Departments of Biology and Computer Science. We believe training in bioinformatics is the best foundation for students interested in future careers in pathology informatics or biomedical informatics. We describe our approach to the recruitment, training and research mentoring of high school students to create a pipeline of exceptionally well-trained applicants for both the disciplines of pathology informatics and biomedical informatics. We emphasize here how mentoring of high school students in pathology informatics and biomedical informatics

  2. [Biomedical engineering today : An overview from the viewpoint of the German Biomedical Engineering Society].

    PubMed

    Schlötelburg, C; Becks, T; Stieglitz, T

    2010-08-01

    Biomedical engineering is characterized by the interdisciplinary co-operation of technology, science, and ways of thinking, probably more than any other technological area. The close interaction of engineering and information sciences with medicine and biology results in innovative products and methods, but also requires high standards for the interdisciplinary transfer of ideas into products for patients' benefits. This article describes the situation of biomedical engineering in Germany. It displays characteristics of the medical device industry and ranks it with respect to the international market. The research landscape is described as well as up-to-date research topics and trends. The national funding situation of research in biomedical engineering is reviewed and existing innovation barriers are discussed.

  3. NIH/NSF accelerate biomedical research innovations

    Cancer.gov

    A collaboration between the National Science Foundation and the National Institutes of Health will give NIH-funded researchers training to help them evaluate their scientific discoveries for commercial potential, with the aim of accelerating biomedical in

  4. The distribution of biomedical research resources and international justice.

    PubMed

    Resnik, David B

    2004-05-01

    According to some estimates, less than 10% of the world's biomedical research funds are dedicated to addressing problems that are responsible for 90% of the world's burden of disease. This paper explains why this disparity exists and what should be done about it. It argues that the disparity exists because: 1) multinational pharmaceutical and biotechnology companies do not regard research and development investments on the health problems of developing nations to be economically lucrative; and 2) governmental agencies that sponsor biomedical research face little political pressure to allocate funds for the problems of developing nations. This paper argues that developed nations have an obligation to address disparities related to biomedical research funding. To facilitate this effort, developed countries should establish a trust fund dedicated to research on the health problems of developing nations similar to the Global AIDS Fund.

  5. A virtual computer lab for distance biomedical technology education.

    PubMed

    Locatis, Craig; Vega, Anibal; Bhagwat, Medha; Liu, Wei-Li; Conde, Jose

    2008-03-13

    The National Library of Medicine's National Center for Biotechnology Information offers mini-courses which entail applying concepts in biochemistry and genetics to search genomics databases and other information sources. They are highly interactive and involve use of 3D molecular visualization software that can be computationally taxing. Methods were devised to offer the courses at a distance so as to provide as much functionality of a computer lab as possible, the venue where they are normally taught. The methods, which can be employed with varied videoconferencing technology and desktop sharing software, were used to deliver mini-courses at a distance in pilot applications where students could see demonstrations by the instructor and the instructor could observe and interact with students working at their remote desktops. Student ratings of the learning experience and comments to open ended questions were similar to those when the courses are offered face to face. The real time interaction and the instructor's ability to access student desktops from a distance in order to provide individual assistance and feedback were considered invaluable. The technologies and methods mimic much of the functionality of computer labs and may be usefully applied in any context where content changes frequently, training needs to be offered on complex computer applications at a distance in real time, and where it is necessary for the instructor to monitor students as they work.

  6. Development of traceable measurement of the diffuse optical properties of solid reference standards for biomedical optics at National Institute of Standards and Technology.

    PubMed

    Lemaillet, Paul; Bouchard, Jean-Pierre; Allen, David W

    2015-07-01

    The development of a national reference instrument dedicated to the measurement of the scattering and absorption properties of solid tissue-mimicking phantoms used as reference standards is presented. The optical properties of the phantoms are measured with a double-integrating sphere setup in the steady-state domain, coupled with an inversion routine of the adding-doubling procedure that allows for the computation of the uncertainty budget for the measurements. The results are compared to the phantom manufacturer's values obtained by a time-resolved approach. The results suggest that the agreement between these two independent methods is within the estimated uncertainties. This new reference instrument will provide optical biomedical research laboratories with reference values for absolute diffuse optical properties of phantom materials.

  7. BIOSSES: a semantic sentence similarity estimation system for the biomedical domain.

    PubMed

    Sogancioglu, Gizem; Öztürk, Hakime; Özgür, Arzucan

    2017-07-15

    The amount of information available in textual format is rapidly increasing in the biomedical domain. Therefore, natural language processing (NLP) applications are becoming increasingly important to facilitate the retrieval and analysis of these data. Computing the semantic similarity between sentences is an important component in many NLP tasks including text retrieval and summarization. A number of approaches have been proposed for semantic sentence similarity estimation for generic English. However, our experiments showed that such approaches do not effectively cover biomedical knowledge and produce poor results for biomedical text. We propose several approaches for sentence-level semantic similarity computation in the biomedical domain, including string similarity measures and measures based on the distributed vector representations of sentences learned in an unsupervised manner from a large biomedical corpus. In addition, ontology-based approaches are presented that utilize general and domain-specific ontologies. Finally, a supervised regression based model is developed that effectively combines the different similarity computation metrics. A benchmark data set consisting of 100 sentence pairs from the biomedical literature is manually annotated by five human experts and used for evaluating the proposed methods. The experiments showed that the supervised semantic sentence similarity computation approach obtained the best performance (0.836 correlation with gold standard human annotations) and improved over the state-of-the-art domain-independent systems up to 42.6% in terms of the Pearson correlation metric. A web-based system for biomedical semantic sentence similarity computation, the source code, and the annotated benchmark data set are available at: http://tabilab.cmpe.boun.edu.tr/BIOSSES/ . gizemsogancioglu@gmail.com or arzucan.ozgur@boun.edu.tr. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e

  8. National Heart, Lung, and Blood Institute Workshop Summary: Enhancing Opportunities for Training and Retention of a Diverse Biomedical Workforce.

    PubMed

    Duncan, Gregg A; Lockett, Angelia; Villegas, Leah R; Almodovar, Sharilyn; Gomez, Jose L; Flores, Sonia C; Wilkes, David S; Tigno, Xenia T

    2016-04-01

    Committed to its mission of conducting and supporting research that addresses the health needs of all sectors of the nation's population, the Division of Lung Diseases, National Heart, Lung, and Blood Institute of the National Institutes of Health (NHLBI/NIH) seeks to identify issues that impact the training and retention of underrepresented individuals in the biomedical research workforce. Early-stage investigators who received grant support through the NIH Research Supplements to Promote Diversity in Health Related Research Program were invited to a workshop held in Bethesda, Maryland in June, 2015, in order to (1) assess the effectiveness of the current NHLBI diversity program, (2) improve its strategies towards achieving its goal, and (3) provide guidance to assist the transition of diversity supplement recipients to independent NIH grant support. Workshop participants participated in five independent focus groups to discuss specific topics affecting underrepresented individuals in the biomedical sciences: (1) Socioeconomic barriers to success for diverse research scientists; (2) role of the academic research community in promoting diversity; (3) life beyond a research project grant: non-primary investigator career paths in research; (4) facilitating career development of diverse independent research scientists through NHLBI diversity programs; and (5) effectiveness of current NHLBI programs for promoting diversity of the biomedical workforce. Several key issues experienced by young, underrepresented biomedical scientists were identified, and solutions were proposed to improve on training and career development for diverse students, from the high school to postdoctoral trainee level, and address limitations of currently available diversity programs. Although some of the challenges mentioned, such as cost of living, limited parental leave, and insecure extramural funding, are also likely faced by nonminority scientists, these issues are magnified among diversity

  9. National Heart, Lung, and Blood Institute Workshop Summary: Enhancing Opportunities for Training and Retention of a Diverse Biomedical Workforce

    PubMed Central

    Duncan, Gregg A.; Lockett, Angelia; Villegas, Leah R.; Almodovar, Sharilyn; Gomez, Jose L.; Flores, Sonia C.; Tigno, Xenia T.

    2016-01-01

    Rationale: Committed to its mission of conducting and supporting research that addresses the health needs of all sectors of the nation's population, the Division of Lung Diseases, National Heart, Lung, and Blood Institute of the National Institutes of Health (NHLBI/NIH) seeks to identify issues that impact the training and retention of underrepresented individuals in the biomedical research workforce. Objectives: Early-stage investigators who received grant support through the NIH Research Supplements to Promote Diversity in Health Related Research Program were invited to a workshop held in Bethesda, Maryland in June, 2015, in order to (1) assess the effectiveness of the current NHLBI diversity program, (2) improve its strategies towards achieving its goal, and (3) provide guidance to assist the transition of diversity supplement recipients to independent NIH grant support. Methods: Workshop participants participated in five independent focus groups to discuss specific topics affecting underrepresented individuals in the biomedical sciences: (1) Socioeconomic barriers to success for diverse research scientists; (2) role of the academic research community in promoting diversity; (3) life beyond a research project grant: non–primary investigator career paths in research; (4) facilitating career development of diverse independent research scientists through NHLBI diversity programs; and (5) effectiveness of current NHLBI programs for promoting diversity of the biomedical workforce. Measurements and Main Results: Several key issues experienced by young, underrepresented biomedical scientists were identified, and solutions were proposed to improve on training and career development for diverse students, from the high school to postdoctoral trainee level, and address limitations of currently available diversity programs. Although some of the challenges mentioned, such as cost of living, limited parental leave, and insecure extramural funding, are also likely faced by

  10. A method for exploring implicit concept relatedness in biomedical knowledge network.

    PubMed

    Bai, Tian; Gong, Leiguang; Wang, Ye; Wang, Yan; Kulikowski, Casimir A; Huang, Lan

    2016-07-19

    Biomedical information and knowledge, structural and non-structural, stored in different repositories can be semantically connected to form a hybrid knowledge network. How to compute relatedness between concepts and discover valuable but implicit information or knowledge from it effectively and efficiently is of paramount importance for precision medicine, and a major challenge facing the biomedical research community. In this study, a hybrid biomedical knowledge network is constructed by linking concepts across multiple biomedical ontologies as well as non-structural biomedical knowledge sources. To discover implicit relatedness between concepts in ontologies for which potentially valuable relationships (implicit knowledge) may exist, we developed a Multi-Ontology Relatedness Model (MORM) within the knowledge network, for which a relatedness network (RN) is defined and computed across multiple ontologies using a formal inference mechanism of set-theoretic operations. Semantic constraints are designed and implemented to prune the search space of the relatedness network. Experiments to test examples of several biomedical applications have been carried out, and the evaluation of the results showed an encouraging potential of the proposed approach to biomedical knowledge discovery.

  11. Graduate program in biomedical communication.

    PubMed

    Ryan, S M

    1969-10-01

    The need for harnessing the achievements of communication technology to the burgeoning mass of biomedical information is critical. Recognizing this problem and aware of the short supply of professionals with the skills necessary for the job, a group of leaders from the fields of medicine and communications formed a consortium in 1967 and have developed a twelve month graduate program in biomedical communication. Designed to ground the advanced student in the development and administration of biomedical communication programs, the curriculum focuses on the principles and practice of communication and the development of communications media. Courses are given in the control and communication of information; the printed and spoken word; visual media of photographic arts, television, and motion pictures; computer science; and administration and systems analysis.

  12. Graduate Program in Biomedical Communication *

    PubMed Central

    Ryan, Susan M.

    1969-01-01

    The need for harnessing the achievements of communication technology to the burgeoning mass of biomedical information is critical. Recognizing this problem and aware of the short supply of professionals with the skills necessary for the job, a group of leaders from the fields of medicine and communications formed a consortium in 1967 and have developed a twelve month graduate program in biomedical communication. Designed to ground the advanced student in the development and administration of biomedical communication programs, the curriculum focuses on the principles and practice of communication and the development of communications media. Courses are given in the control and communication of information; the printed and spoken word; visual media of photographic arts, television, and motion pictures; computer science; and administration and systems analysis. PMID:5823505

  13. A resource facility for kinetic analysis: modeling using the SAAM computer programs.

    PubMed

    Foster, D M; Boston, R C; Jacquez, J A; Zech, L

    1989-01-01

    Kinetic analysis and integrated system modeling have contributed significantly to understanding the physiology and pathophysiology of metabolic systems in humans and animals. Many experimental biologists are aware of the usefulness of these techniques and recognize that kinetic modeling requires special expertise. The Resource Facility for Kinetic Analysis (RFKA) provides this expertise through: (1) development and application of modeling technology for biomedical problems, and (2) development of computer-based kinetic modeling methodologies concentrating on the computer program Simulation, Analysis, and Modeling (SAAM) and its conversational version, CONversational SAAM (CONSAM). The RFKA offers consultation to the biomedical community in the use of modeling to analyze kinetic data and trains individuals in using this technology for biomedical research. Early versions of SAAM were widely applied in solving dosimetry problems; many users, however, are not familiar with recent improvements to the software. The purpose of this paper is to acquaint biomedical researchers in the dosimetry field with RFKA, which, together with the joint National Cancer Institute-National Heart, Lung and Blood Institute project, is overseeing SAAM development and applications. In addition, RFKA provides many service activities to the SAAM user community that are relevant to solving dosimetry problems.

  14. 77 FR 19675 - National Institute of Biomedical Imaging and Bioengineering; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-04-02

    ... Biomedical Imaging and Bioengineering; Notice of Meeting Pursuant to section 10(d) of the Federal Advisory... Council for Biomedical Imaging and Bioengineering. The meeting will be open to the public as indicated... for Biomedical Imaging and Bioengineering, NACBIB May, 2012. Date: May 21, 2012. Open: 9 a.m. to 1 p.m...

  15. Automated segmentation of synchrotron radiation micro-computed tomography biomedical images using Graph Cuts and neural networks

    NASA Astrophysics Data System (ADS)

    Alvarenga de Moura Meneses, Anderson; Giusti, Alessandro; de Almeida, André Pereira; Parreira Nogueira, Liebert; Braz, Delson; Cely Barroso, Regina; deAlmeida, Carlos Eduardo

    2011-12-01

    Synchrotron Radiation (SR) X-ray micro-Computed Tomography (μCT) enables magnified images to be used as a non-invasive and non-destructive technique with a high space resolution for the qualitative and quantitative analyses of biomedical samples. The research on applications of segmentation algorithms to SR-μCT is an open problem, due to the interesting and well-known characteristics of SR images for visualization, such as the high resolution and the phase contrast effect. In this article, we describe and assess the application of the Energy Minimization via Graph Cuts (EMvGC) algorithm for the segmentation of SR-μCT biomedical images acquired at the Synchrotron Radiation for MEdical Physics (SYRMEP) beam line at the Elettra Laboratory (Trieste, Italy). We also propose a method using EMvGC with Artificial Neural Networks (EMANNs) for correcting misclassifications due to intensity variation of phase contrast, which are important effects and sometimes indispensable in certain biomedical applications, although they impair the segmentation provided by conventional techniques. Results demonstrate considerable success in the segmentation of SR-μCT biomedical images, with average Dice Similarity Coefficient 99.88% for bony tissue in Wistar Rats rib samples (EMvGC), as well as 98.95% and 98.02% for scans of Rhodnius prolixus insect samples (Chagas's disease vector) with EMANNs, in relation to manual segmentation. The techniques EMvGC and EMANNs cope with the task of performing segmentation in images with the intensity variation due to phase contrast effects, presenting a superior performance in comparison to conventional segmentation techniques based on thresholding and linear/nonlinear image filtering, which is also discussed in the present article.

  16. United Nations and human cloning: a slender and fortunate defence for biomedical research.

    PubMed

    Edwards, R G

    2003-12-01

    Numerous biomedical scientists have contributed to the wide knowledge on the growth of preimplantation human embryos in vitro, now improving every aspect of the form of clinical care. These data were gained ethically in many countries, to open new vistas including the alleviation of infertility, preimplantation genetic diagnosis and stem cells, combined with some recent reports on human reproductive cloning. After detailed consultations with scientists, clinicians, ethicists and lawyers, many governments passed legislation permitting research under their own particular socially-defined conditions. Virtually all of them rejected reproductive cloning; a few have accepted therapeutic cloning. These legislatures saluted the many biomedical scientists striving to improve IVF and its derivatives, recognizing their immense medical potential. A motion recently placed before the United Nations then recommended a worldwide ban on all forms of human cloning. Proponents included the Vatican and many Roman Catholic countries, the USA and others. Opponents included Belgium, China, Japan, Brazil, UK, Germany and France. Mediation was achieved by Iran and other Muslim nations, and led to a motion passed by single vote for a two-year delay. This may be the first-ever proposal to ban worldwide a particular form of research. It sounds the alarm bells for further research. It raises questions about the UN being an appropriate forum for ethical decisions affecting the entire world and its future medicine. Large blocs of nations committed to particular religions and outlooks confronted each other, a situation in total contrast to the detailed and widespread consultations made by individual governments when deciding their own individual ethics. This event was clearly a narrow escape for free research as defined by each country's own jurisprudence. It also places research on human embryology and reproductive biomedicine into a more critical situation than before. Current liberalism in

  17. The semantic measures library and toolkit: fast computation of semantic similarity and relatedness using biomedical ontologies.

    PubMed

    Harispe, Sébastien; Ranwez, Sylvie; Janaqi, Stefan; Montmain, Jacky

    2014-03-01

    The semantic measures library and toolkit are robust open-source and easy to use software solutions dedicated to semantic measures. They can be used for large-scale computations and analyses of semantic similarities between terms/concepts defined in terminologies and ontologies. The comparison of entities (e.g. genes) annotated by concepts is also supported. A large collection of measures is available. Not limited to a specific application context, the library and the toolkit can be used with various controlled vocabularies and ontology specifications (e.g. Open Biomedical Ontology, Resource Description Framework). The project targets both designers and practitioners of semantic measures providing a JAVA library, as well as a command-line tool that can be used on personal computers or computer clusters. Downloads, documentation, tutorials, evaluation and support are available at http://www.semantic-measures-library.org.

  18. Computational Omics Pre-Awardees | Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) is pleased to announce the pre-awardees of the Computational Omics solicitation. Working with NVIDIA Foundation's Compute the Cure initiative and Leidos Biomedical Research Inc., the NCI, through this solicitation, seeks to leverage computational efforts to provide tools for the mining and interpretation of large-scale publicly available ‘omics’ datasets.

  19. Extreme Scale Computing to Secure the Nation

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Brown, D L; McGraw, J R; Johnson, J R

    2009-11-10

    Since the dawn of modern electronic computing in the mid 1940's, U.S. national security programs have been dominant users of every new generation of high-performance computer. Indeed, the first general-purpose electronic computer, ENIAC (the Electronic Numerical Integrator and Computer), was used to calculate the expected explosive yield of early thermonuclear weapons designs. Even the U. S. numerical weather prediction program, another early application for high-performance computing, was initially funded jointly by sponsors that included the U.S. Air Force and Navy, agencies interested in accurate weather predictions to support U.S. military operations. For the decades of the cold war, national securitymore » requirements continued to drive the development of high performance computing (HPC), including advancement of the computing hardware and development of sophisticated simulation codes to support weapons and military aircraft design, numerical weather prediction as well as data-intensive applications such as cryptography and cybersecurity U.S. national security concerns continue to drive the development of high-performance computers and software in the U.S. and in fact, events following the end of the cold war have driven an increase in the growth rate of computer performance at the high-end of the market. This mainly derives from our nation's observance of a moratorium on underground nuclear testing beginning in 1992, followed by our voluntary adherence to the Comprehensive Test Ban Treaty (CTBT) beginning in 1995. The CTBT prohibits further underground nuclear tests, which in the past had been a key component of the nation's science-based program for assuring the reliability, performance and safety of U.S. nuclear weapons. In response to this change, the U.S. Department of Energy (DOE) initiated the Science-Based Stockpile Stewardship (SBSS) program in response to the Fiscal Year 1994 National Defense Authorization Act, which requires, 'in the absence of

  20. DOE planning workshop advanced biomedical technology initiative

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Not Available

    1994-06-01

    The Department of Energy has mad major contributions in the biomedical sciences with programs in medical applications and instrumentation development, molecular biology, human genome, and computational sciences. In an effort to help determine DOE`s role in applying these capabilities to the nation`s health care needs, a planning workshop was held on January 11--12, 1994. The workshop was co-sponsored by the Department`s Office of Energy Research and Defense Programs organizations. Participants represented industry, medical research institutions, national laboratories, and several government agencies. They attempted to define the needs of the health care industry. identify DOE laboratory capabilities that address these needs,more » and determine how DOE, in cooperation with other team members, could begin an initiative with the goals of reducing health care costs while improving the quality of health care delivery through the proper application of technology and computational systems. This document is a report of that workshop. Seven major technology development thrust areas were considered. Each involves development of various aspects of imaging, optical, sensor and data processing and storage technologies. The thrust areas as prioritized for DOE are: (1) Minimally Invasive Procedures; (2) Technologies for Individual Self Care; (3) Outcomes Research; (4) Telemedicine; (5) Decision Support Systems; (6) Assistive Technology; (7) Prevention and Education.« less

  1. The role of real-time in biomedical science: a meta-analysis on computational complexity, delay and speedup.

    PubMed

    Faust, Oliver; Yu, Wenwei; Rajendra Acharya, U

    2015-03-01

    The concept of real-time is very important, as it deals with the realizability of computer based health care systems. In this paper we review biomedical real-time systems with a meta-analysis on computational complexity (CC), delay (Δ) and speedup (Sp). During the review we found that, in the majority of papers, the term real-time is part of the thesis indicating that a proposed system or algorithm is practical. However, these papers were not considered for detailed scrutiny. Our detailed analysis focused on papers which support their claim of achieving real-time, with a discussion on CC or Sp. These papers were analyzed in terms of processing system used, application area (AA), CC, Δ, Sp, implementation/algorithm (I/A) and competition. The results show that the ideas of parallel processing and algorithm delay were only recently introduced and journal papers focus more on Algorithm (A) development than on implementation (I). Most authors compete on big O notation (O) and processing time (PT). Based on these results, we adopt the position that the concept of real-time will continue to play an important role in biomedical systems design. We predict that parallel processing considerations, such as Sp and algorithm scaling, will become more important. Copyright © 2015 Elsevier Ltd. All rights reserved.

  2. Teaching biomedical applications to secondary students.

    PubMed

    Openshaw, S; Fleisher, A; Ljunggren, C

    1999-01-01

    Certain aspects of biomedical engineering applications lend themselves well to experimentation that can be done by high school students. This paper describes two experiments done during a six-week summer internship program in which two high school students used electrodes, circuit boards, and computers to mimic a sophisticated heart monitor and also to control a robotic car. Our experience suggests that simple illustrations of complex instrumentation can be effective in introducing adolescents to the biomedical engineering field.

  3. New frontiers in biomedical science and engineering during 2014-2015.

    PubMed

    Liu, Feng; Lee, Dong-Hoon; Lagoa, Ricardo; Kumar, Sandeep

    2015-01-01

    The International Conference on Biomedical Engineering and Biotechnology (ICBEB) is an international meeting held once a year. This, the fourth International Conference on Biomedical Engineering and Biotechnology (ICBEB2015), will be held in Shanghai, China, during August 18th-21st, 2015. This annual conference intends to provide an opportunity for researchers and practitioners at home and abroad to present the most recent frontiers and future challenges in the fields of biomedical science, biomedical engineering, biomaterials, bioinformatics and computational biology, biomedical imaging and signal processing, biomechanical engineering and biotechnology, etc. The papers published in this issue are selected from this Conference, which witness the advances in biomedical engineering and biotechnology during 2014-2015.

  4. A Suggested Model for Building Robust Biomedical Implants Registries.

    PubMed

    Aloufi, Bader; Alshagathrah, Fahad; Househ, Mowafa

    2017-01-01

    Registries are an essential source of information for clinical and non-clinical decision-makers; because they provide evidence for post-market clinical follow-up and early detection of safety signals for biomedical implants. Yet, many of todays biomedical implants registries are facing a variety of challenges relating to a poorly designed dataset, the reliability of inputted data and low clinician and patient participation. The purpose of this paper is to present a best practice model for the implementation and use of biomedical implants registries to monitor the safety and effectiveness of implantable medical devices. Based on a literature review and an analysis of multiple national relevant registries, we identified six factors that address contemporary challenges and are believed to be the keys for building a successful biomedical implants registry, which include: sustainable development, international comparability, data reliability, purposeful design, ease of patient participation, and collaborative development at the national level.

  5. Rising Expectations: Access to Biomedical Information

    PubMed Central

    Lindberg, D. A. B.; Humphreys, B. L.

    2008-01-01

    Summary Objective To provide an overview of the expansion in public access to electronic biomedical information over the past two decades, with an emphasis on developments to which the U.S. National Library of Medicine contributed. Methods Review of the increasingly broad spectrum of web-accessible genomic data, biomedical literature, consumer health information, clinical trials data, and images. Results The amount of publicly available electronic biomedical information has increased dramatically over the past twenty years. Rising expectations regarding access to biomedical information were stimulated by the spread of the Internet, the World Wide Web, advanced searching and linking techniques. These informatics advances simplified and improved access to electronic information and reduced costs, which enabled inter-organizational collaborations to build and maintain large international information resources and also aided outreach and education efforts The demonstrated benefits of free access to electronic biomedical information encouraged the development of public policies that further increase the amount of information available. Conclusions Continuing rapid growth of publicly accessible electronic biomedical information presents tremendous opportunities and challenges, including the need to ensure uninterrupted access during disasters or emergencies and to manage digital resources so they remain available for future generations. PMID:18587496

  6. Advances in biomedical engineering and biotechnology during 2013-2014.

    PubMed

    Liu, Feng; Wang, Ying; Burkhart, Timothy A; González Penedo, Manuel Francisco; Ma, Shaodong

    2014-01-01

    The 3rd International Conference on Biomedical Engineering and Biotechnology (iCBEB 2014), held in Beijing from the 25th to the 28th of September 2014, is an annual conference that intends to provide an opportunity for researchers and practitioners around the world to present the most recent advances and future challenges in the fields of biomedical engineering, biomaterials, bioinformatics and computational biology, biomedical imaging and signal processing, biomechanical engineering and biotechnology, amongst others. The papers published in this issue are selected from this conference, which witnesses the advances in biomedical engineering and biotechnology during 2013-2014.

  7. [Ethics and biomedical research].

    PubMed

    Goussard, Christophe

    2007-01-01

    Ethics in biomedical research took off from the 1947 Nuremberg Code to its own right in the wake of the Declaration of Helsinki in 1964. Since then, (inter)national regulations and guidelines providing a framework for clinical studies and protection for study participants have been drafted and implemented, while ethics committees and drug evaluation agencies have sprung up throughout the world. These two developments were crucial in bringing about the protection of rights and safety of the participants and harmonization of the conduct of biomedical research. Ethics committees and drug evaluation agencies deliver ethical and scientific assessments on the quality and safety of the projects submitted to them and issue respectively approvals and authorizations to carry out clinical trials, while ensuring that they comply with regulatory requirements, ethical principles, and scientific guidelines. The advent of biomedical ethics, together with the responsible commitment of clinical investigators and of the pharmaceutical industry, has guaranteed respect for the patient, for whom and with whom research is conducted. Just as importantly, it has also ensured that patients reap the benefit of what is the primary objective of biomedical research: greater life expectancy, well-being, and quality of life.

  8. Environmental/Biomedical Terminology Index

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Huffstetler, J.K.; Dailey, N.S.; Rickert, L.W.

    1976-12-01

    The Information Center Complex (ICC), a centrally administered group of information centers, provides information support to environmental and biomedical research groups and others within and outside Oak Ridge National Laboratory. In-house data base building and development of specialized document collections are important elements of the ongoing activities of these centers. ICC groups must be concerned with language which will adequately classify and insure retrievability of document records. Language control problems are compounded when the complexity of modern scientific problem solving demands an interdisciplinary approach. Although there are several word lists, indexes, and thesauri specific to various scientific disciplines usually groupedmore » as Environmental Sciences, no single generally recognized authority can be used as a guide to the terminology of all environmental science. If biomedical terminology for the description of research on environmental effects is also needed, the problem becomes even more complex. The building of a word list which can be used as a general guide to the environmental/biomedical sciences has been a continuing activity of the Information Center Complex. This activity resulted in the publication of the Environmental Biomedical Terminology Index (EBTI).« less

  9. Biomedical technology transfer applications of NASA science and technology

    NASA Technical Reports Server (NTRS)

    1972-01-01

    The identification and solution of research and clinical problems in cardiovascular medicine which were investigated by means of biomedical data transfer are reported. The following are sample areas that were focused upon by the Stanford University Biomedical Technology Transfer Team: electrodes for hemiplegia research; vectorcardiogram computer analysis; respiration and phonation electrodes; radiotelemetry of intracranial pressure; and audiotransformation of the electrocardiographic signal. It is concluded that this biomedical technology transfer is significantly aiding present research in cardiovascular medicine.

  10. Cloud computing: a new business paradigm for biomedical information sharing.

    PubMed

    Rosenthal, Arnon; Mork, Peter; Li, Maya Hao; Stanford, Jean; Koester, David; Reynolds, Patti

    2010-04-01

    We examine how the biomedical informatics (BMI) community, especially consortia that share data and applications, can take advantage of a new resource called "cloud computing". Clouds generally offer resources on demand. In most clouds, charges are pay per use, based on large farms of inexpensive, dedicated servers, sometimes supporting parallel computing. Substantial economies of scale potentially yield costs much lower than dedicated laboratory systems or even institutional data centers. Overall, even with conservative assumptions, for applications that are not I/O intensive and do not demand a fully mature environment, the numbers suggested that clouds can sometimes provide major improvements, and should be seriously considered for BMI. Methodologically, it was very advantageous to formulate analyses in terms of component technologies; focusing on these specifics enabled us to bypass the cacophony of alternative definitions (e.g., exactly what does a cloud include) and to analyze alternatives that employ some of the component technologies (e.g., an institution's data center). Relative analyses were another great simplifier. Rather than listing the absolute strengths and weaknesses of cloud-based systems (e.g., for security or data preservation), we focus on the changes from a particular starting point, e.g., individual lab systems. We often find a rough parity (in principle), but one needs to examine individual acquisitions--is a loosely managed lab moving to a well managed cloud, or a tightly managed hospital data center moving to a poorly safeguarded cloud? 2009 Elsevier Inc. All rights reserved.

  11. Are we studying what matters? Health priorities and NIH-funded biomedical engineering research.

    PubMed

    Rubin, Jessica B; Paltiel, A David; Saltzman, W Mark

    2010-07-01

    With the founding of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) in 1999, the National Institutes of Health (NIH) made explicit its dedication to expanding research in biomedical engineering. Ten years later, we sought to examine how closely federal funding for biomedical engineering aligns with U.S. health priorities. Using a publicly accessible database of research projects funded by the NIH in 2008, we identified 641 grants focused on biomedical engineering, 48% of which targeted specific diseases. Overall, we found that these disease-specific NIH-funded biomedical engineering research projects align with national health priorities, as quantified by three commonly utilized measures of disease burden: cause of death, disability-adjusted survival losses, and expenditures. However, we also found some illnesses (e.g., cancer and heart disease) for which the number of research projects funded deviated from our expectations, given their disease burden. Our findings suggest several possibilities for future studies that would serve to further inform the allocation of limited research dollars within the field of biomedical engineering.

  12. Biomedical Polar Research Workshop Minutes

    NASA Technical Reports Server (NTRS)

    1990-01-01

    This workshop was conducted to provide a background of NASA and National Science Foundation goals, an overview of previous and current biomedical research, and a discussion about areas of potential future joint activities. The objectives of the joint research were: (1) to develop an understanding of the physiological, psychological, and behavioral alterations and adaptations to extreme environments of the polar regions; (2) to ensure the health, well-being, and performance of humans in these environments; and (3) to promote the application of biomedical research to improve the quality of life in all environments.

  13. Manpower development for the biomedical industry space.

    PubMed

    Goh, James C H

    2013-01-01

    The Biomedical Sciences (BMS) Cluster is one of four key pillars of the Singapore economy. The Singapore Government has injected research funding for basic and translational research to attract companies to carry out their commercial R&D activities. To further intensify the R&D efforts, the National Research Foundation (NRF) was set up to coordinate the research activities of different agencies within the larger national framework and to fund strategic R&D initiatives. In recent years, funding agencies began to focus on support of translational and clinical research, particularly those with potential for commercialization. Translational research is beginning to have traction, in particular research funding for the development of innovation medical devices. Therefore, the Biomedical Sciences sector is projected to grow which means that there is a need to invest in human capital development to achieve sustainable growth. In support of this, education and training programs to strengthen the manpower capabilities for the Biomedical Sciences industry have been developed. In recent years, undergraduate and graduate degree courses in biomedical engineering/bioengineering have been developing at a rapid rate. The goal is to train students with skills to understand complex issues of biomedicine and to develop and implement of advanced technological applications to these problems. There are a variety of career opportunities open to graduates in biomedical engineering, however regardless of the type of career choices, students must not only focus on achieving good grades. They have to develop their marketability to employers through internships, overseas exchange programs, and involvement in leadership-type activities. Furthermore, curriculum has to be developed with biomedical innovation in mind and ensure relevance to the industry. The objective of this paper is to present the NUS Bioengineering undergraduate program in relation to manpower development for the biomedical

  14. Preservation of the biomedical literature: an overview.

    PubMed Central

    Byrnes, M M

    1989-01-01

    The National Library of Medicine began to preserve its collection many years ago. This article presents a brief review of NLM's early conservation and microfilming programs, and describes the current activities of the library's new Preservation Section. Also mentioned are the complementary efforts of NLM staff who are involved in research into electronic imaging and the campaign to increase the use of alkaline paper in medical and scientific publishing. Goals of the National Preservation Plan for the Biomedical Literature are summarized and a report on progress in implementing the plan is provided. Results of the preservation needs assessment described in the accompanying article by Kirkpatrick are briefly analyzed. Recent efforts of the Commission on Preservation and Access, the National Endowment for the Humanities, the Research Libraries Group, and several international associations are described in terms of their potential benefit to preservation of the biomedical literature. The need to monitor new preservation technologies and preserve materials in audiovisual and electronic formats is emphasized. It is argued that with enough coordination, cooperation, and willingness among health sciences libraries to share the costs, the goal of preserving all of the important biomedical literature can be accomplished. PMID:2758180

  15. Explorative search of distributed bio-data to answer complex biomedical questions

    PubMed Central

    2014-01-01

    Background The huge amount of biomedical-molecular data increasingly produced is providing scientists with potentially valuable information. Yet, such data quantity makes difficult to find and extract those data that are most reliable and most related to the biomedical questions to be answered, which are increasingly complex and often involve many different biomedical-molecular aspects. Such questions can be addressed only by comprehensively searching and exploring different types of data, which frequently are ordered and provided by different data sources. Search Computing has been proposed for the management and integration of ranked results from heterogeneous search services. Here, we present its novel application to the explorative search of distributed biomedical-molecular data and the integration of the search results to answer complex biomedical questions. Results A set of available bioinformatics search services has been modelled and registered in the Search Computing framework, and a Bioinformatics Search Computing application (Bio-SeCo) using such services has been created and made publicly available at http://www.bioinformatics.deib.polimi.it/bio-seco/seco/. It offers an integrated environment which eases search, exploration and ranking-aware combination of heterogeneous data provided by the available registered services, and supplies global results that can support answering complex multi-topic biomedical questions. Conclusions By using Bio-SeCo, scientists can explore the very large and very heterogeneous biomedical-molecular data available. They can easily make different explorative search attempts, inspect obtained results, select the most appropriate, expand or refine them and move forward and backward in the construction of a global complex biomedical query on multiple distributed sources that could eventually find the most relevant results. Thus, it provides an extremely useful automated support for exploratory integrated bio search, which is

  16. National Strategic Computing Initiative Strategic Plan

    DTIC Science & Technology

    2016-07-01

    23 A.6 National Nanotechnology Initiative...Initiative: https://www.nitrd.gov/nitrdgroups/index.php?title=Big_Data_(BD_SSG)  National Nanotechnology Initiative: http://www.nano.gov  Precision...computing. While not limited to neuromorphic technologies, the National Nanotechnology Initiative’s first Grand Challenge seeks to achieve brain

  17. IEEE International Symposium on Biomedical Imaging.

    PubMed

    2017-01-01

    The IEEE International Symposium on Biomedical Imaging (ISBI) is a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biological and biomedical imaging, across all scales of observation. It fosters knowledge transfer among different imaging communities and contributes to an integrative approach to biomedical imaging. ISBI is a joint initiative from the IEEE Signal Processing Society (SPS) and the IEEE Engineering in Medicine and Biology Society (EMBS). The 2018 meeting will include tutorials, and a scientific program composed of plenary talks, invited special sessions, challenges, as well as oral and poster presentations of peer-reviewed papers. High-quality papers are requested containing original contributions to the topics of interest including image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological, and statistical modeling. Accepted 4-page regular papers will be published in the symposium proceedings published by IEEE and included in IEEE Xplore. To encourage attendance by a broader audience of imaging scientists and offer additional presentation opportunities, ISBI 2018 will continue to have a second track featuring posters selected from 1-page abstract submissions without subsequent archival publication.

  18. A Perspective on Promoting Diversity in the Biomedical Research Workforce: The National Heart, Lung, and Blood Institute's PRIDE Program.

    PubMed

    Boyington, Josephine E A; Maihle, Nita J; Rice, Treva K; Gonzalez, Juan E; Hess, Caryl A; Makala, Levi H; Jeffe, Donna B; Ogedegbe, Gbenga; Rao, Dabeeru C; Dávila-Román, Victor G; Pace, Betty S; Jean-Louis, Girardin; Boutjdir, Mohamed

    2016-07-21

    Aspiring junior investigators from groups underrepresented in the biomedical sciences face various challenges as they pursue research independence. However, the biomedical research enterprise needs their participation to effectively address critical research issues such as health disparities and health inequities. In this article, we share a research education and mentoring initiative that seeks to address this challenge: Programs to Increase Diversity among Individuals Engaged in Health Related Research (PRIDE), funded by the National Heart, Lung, and Blood Institute (NHLBI). This longitudinal research-education and mentoring program occurs through summer institute programs located at US-based academic institutions. Recruited participants are exposed to didactic and lab-based research-skill enhancement experiences, with year-round mentoring over the course of two years. Mentor-mentee matching is based on shared research interests to promote congruence and to enhance skill acquisition. Program descriptions and sample narratives of participants' perceptions of PRIDE's impact on their career progress are showcased. Additionally, we highlight the overall program design and structure of four of seven funded summer institutes that focus on cardiovascular disease, related conditions, and health disparities. Mentees' testimonials about the value of the PRIDE mentoring approach in facilitating career development are also noted. Meeting the clinical and research needs of an increasingly diverse US population is an issue of national concern. The PRIDE initiative, which focuses on increasing research preparedness and professional development of groups underrepresented in the biomedical research workforce, with an emphasis on mentoring as the critical approach, provides a robust model that is impacting the careers of future investigators.

  19. National Institute of Biomedical Imaging and Bioengineering Point-of-Care Technology Research Network: Advancing Precision Medicine

    PubMed Central

    Ford Carleton, Penny; Parrish, John A.; Collins, John M.; Crocker, J. Benjamin; Dixon, Ronald F.; Edgman-Levitan, Susan; Lewandrowski, Kent B.; Stahl, James E.; Klapperich, Catherine; Cabodi, Mario; Gaydos, Charlotte A.; Rompalo, Anne M.; Manabe, Yukari; Wang, Tza-Huei; Rothman, Richard; Geddes, Chris D.; Widdice, Lea; Jackman, Joany; Mathura, Rishi A.; Lash, Tiffani Bailey

    2016-01-01

    To advance the development of point-of-care technology (POCT), the National Institute of Biomedical Imaging and Bioengineering established the POCT Research Network (POCTRN), comprised of Centers that emphasize multidisciplinary partnerships and close facilitation to move technologies from an early stage of development into clinical testing and patient use. This paper describes the POCTRN and the three currently funded Centers as examples of academic-based organizations that support collaborations across disciplines, institutions, and geographic regions to successfully drive innovative solutions from concept to patient care. PMID:27730014

  20. Biomedical engineering for health research and development.

    PubMed

    Zhang, X-Y

    2015-01-01

    Biomedical engineering is a new area of research in medicine and biology, providing new concepts and designs for the diagnosis, treatment and prevention of various diseases. There are several types of biomedical engineering, such as tissue, genetic, neural and stem cells, as well as chemical and clinical engineering for health care. Many electronic and magnetic methods and equipments are used for the biomedical engineering such as Computed Tomography (CT) scans, Magnetic Resonance Imaging (MRI) scans, Electroencephalography (EEG), Ultrasound and regenerative medicine and stem cell cultures, preparations of artificial cells and organs, such as pancreas, urinary bladders, liver cells, and fibroblasts cells of foreskin and others. The principle of tissue engineering is described with various types of cells used for tissue engineering purposes. The use of several medical devices and bionics are mentioned with scaffold, cells and tissue cultures and various materials are used for biomedical engineering. The use of biomedical engineering methods is very important for the human health, and research and development of diseases. The bioreactors and preparations of artificial cells or tissues and organs are described here.

  1. Cross-Approximate Entropy parallel computation on GPUs for biomedical signal analysis. Application to MEG recordings.

    PubMed

    Martínez-Zarzuela, Mario; Gómez, Carlos; Díaz-Pernas, Francisco Javier; Fernández, Alberto; Hornero, Roberto

    2013-10-01

    Cross-Approximate Entropy (Cross-ApEn) is a useful measure to quantify the statistical dissimilarity of two time series. In spite of the advantage of Cross-ApEn over its one-dimensional counterpart (Approximate Entropy), only a few studies have applied it to biomedical signals, mainly due to its high computational cost. In this paper, we propose a fast GPU-based implementation of the Cross-ApEn that makes feasible its use over a large amount of multidimensional data. The scheme followed is fully scalable, thus maximizes the use of the GPU despite of the number of neural signals being processed. The approach consists in processing many trials or epochs simultaneously, with independence of its origin. In the case of MEG data, these trials can proceed from different input channels or subjects. The proposed implementation achieves an average speedup greater than 250× against a CPU parallel version running on a processor containing six cores. A dataset of 30 subjects containing 148 MEG channels (49 epochs of 1024 samples per channel) can be analyzed using our development in about 30min. The same processing takes 5 days on six cores and 15 days when running on a single core. The speedup is much larger if compared to a basic sequential Matlab(®) implementation, that would need 58 days per subject. To our knowledge, this is the first contribution of Cross-ApEn measure computation using GPUs. This study demonstrates that this hardware is, to the day, the best option for the signal processing of biomedical data with Cross-ApEn. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  2. Purdue University National Biomedical Tracer Facility: Project definition phase. Final report

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Green, M.A.

    The proposed National Biomedical Tracer Facility (NBTF) will house a high-current accelerator dedicated to production of short-lived radionuclides for biomedical and scientific research. The NBTF will play a vital role in repairing and maintaining the United States` research infrastructure for generation of essential accelerator-based radioisotopes. If properly designed and managed, the NBTF should also achieve international recognition as a Center-of-Excellence for research on radioisotope production methods and for associated education and training. The current report documents the results of a DOE-funded NBTF Project Definition Phase study carried out to better define the technical feasibility and projected costs of establishing andmore » operating the NBTF. This report provides an overview of recommended Facility Design and Specifications, including Accelerator Design, Building Design, and the associated Construction Cost Estimates and Schedule. It is recommended that the NBTF be established as an integrated, comprehensive facility for meeting the diverse production, research, and educational missions set forth in previous documents. Based on an analysis of the projected production demands that will be placed on the NBTF, it appears that a 70 MeV, 1 mA, negative ion cyclotron will offer a good balance between production capabilities and the costs of accelerator purchase and operation. A preliminary architectural plan is presented for a facility designed specifically to fulfill the functions of the NBTF in a cost-effective manner. This report also presents a detailed analysis of the Required Federal State, and Local Permits that may be needed to establish the NBTF, along with schedules and cost estimates for obtaining these permits. The Handling, Storage, and Disposal of Radioactive Waste will pose some significant challenges in the operation of the NBTF, but at this stage of planning the associated problems do not appear to be prohibitive.« less

  3. Compliance with National Ethics Requirements for Human-Subject Research in Non-biomedical Sciences in Brazil: A Changing Culture?

    PubMed

    de Albuquerque Rocha, Karina; Vasconcelos, Sonia M R

    2018-02-06

    Ethics regulation for human-subject research (HSR) has been established for about 20 years in Brazil. However, compliance with this regulation is controversial for non-biomedical sciences, particularly for human and social sciences (HSS), the source of a recent debate at the National Commission for Research Ethics. We hypothesized that for these fields, formal requirements for compliance with HSR regulation in graduate programs, responsible for the greatest share of Brazilian science, would be small in number. We analyzed institutional documents (collected from June 2014 to May 2015) from 171 graduate programs at six prestigious Brazilian universities in São Paulo and Rio de Janeiro, the states that fund most of the science conducted in Brazil. Among these programs, 149 were in HSS. The results suggest that non-compliance with standard regulation seems to be the rule in most of these programs. The data may reflect not only a resistance from scientists in these fields to comply with standard regulations for ethics in HSR but also a disciplinary tradition that seems prevalent when it comes to research ethics in HSR. However, recent encounters between Brazilian biomedical and non-biomedical scientists for debates over ethics in HSR point to a changing culture in the approach to research ethics in the country.

  4. Military research needs in biomedical informatics.

    PubMed

    Reifman, Jaques; Gilbert, Gary R; Fagan, Lawrence; Satava, Richard

    2002-01-01

    The 2001 U.S. Army Medical Research and Materiel Command (USAMRMC) Biomedical Informatics Roadmap Meeting was devoted to developing a strategic plan in four focus areas: Hospital and Clinical Informatics, E-Health, Combat Health Informatics, and Bioinformatics and Biomedical Computation. The driving force of this Roadmap Meeting was the recent accelerated pace of change in biomedical informatics in which emerging technologies have the potential to affect significantly the Army research portfolio and investment strategy in these focus areas. The meeting was structured so that the first two days were devoted to presentations from experts in the field, including representatives from the three services, other government agencies, academia, and the private sector, and the morning of the last day was devoted to capturing specific biomedical informatics research needs in the four focus areas. This white paper summarizes the key findings and recommendations and should be a powerful tool for the crafting of future requests for proposals to help align USAMRMC new strategic research investments with new developments and emerging technologies.

  5. Simbody: multibody dynamics for biomedical research.

    PubMed

    Sherman, Michael A; Seth, Ajay; Delp, Scott L

    Multibody software designed for mechanical engineering has been successfully employed in biomedical research for many years. For real time operation some biomedical researchers have also adapted game physics engines. However, these tools were built for other purposes and do not fully address the needs of biomedical researchers using them to analyze the dynamics of biological structures and make clinically meaningful recommendations. We are addressing this problem through the development of an open source, extensible, high performance toolkit including a multibody mechanics library aimed at the needs of biomedical researchers. The resulting code, Simbody, supports research in a variety of fields including neuromuscular, prosthetic, and biomolecular simulation, and related research such as biologically-inspired design and control of humanoid robots and avatars. Simbody is the dynamics engine behind OpenSim, a widely used biomechanics simulation application. This article reviews issues that arise uniquely in biomedical research, and reports on the architecture, theory, and computational methods Simbody uses to address them. By addressing these needs explicitly Simbody provides a better match to the needs of researchers than can be obtained by adaptation of mechanical engineering or gaming codes. Simbody is a community resource, free for any purpose. We encourage wide adoption and invite contributions to the code base at https://simtk.org/home/simbody.

  6. Minimization and management of wastes from biomedical research.

    PubMed Central

    Rau, E H; Alaimo, R J; Ashbrook, P C; Austin, S M; Borenstein, N; Evans, M R; French, H M; Gilpin, R W; Hughes, J; Hummel, S J; Jacobsohn, A P; Lee, C Y; Merkle, S; Radzinski, T; Sloane, R; Wagner, K D; Weaner, L E

    2000-01-01

    Several committees were established by the National Association of Physicians for the Environment to investigate and report on various topics at the National Leadership Conference on Biomedical Research and the Environment held at the 1--2 November 1999 at the National Institutes of Health in Bethesda, Maryland. This is the report of the Committee on Minimization and Management of Wastes from Biomedical Research. Biomedical research facilities contribute a small fraction of the total amount of wastes generated in the United States, and the rate of generation appears to be decreasing. Significant reductions in generation of hazardous, radioactive, and mixed wastes have recently been reported, even at facilities with rapidly expanding research programs. Changes in the focus of research, improvements in laboratory techniques, and greater emphasis on waste minimization (volume and toxicity reduction) explain the declining trend in generation. The potential for uncontrolled releases of wastes from biomedical research facilities and adverse impacts on the general environment from these wastes appears to be low. Wastes are subject to numerous regulatory requirements and are contained and managed in a manner protective of the environment. Most biohazardous agents, chemicals, and radionuclides that find significant use in research are not likely to be persistent, bioaccumulative, or toxic if they are released. Today, the primary motivations for the ongoing efforts by facilities to improve minimization and management of wastes are regulatory compliance and avoidance of the high disposal costs and liabilities associated with generation of regulated wastes. The committee concluded that there was no evidence suggesting that the anticipated increases in biomedical research will significantly increase generation of hazardous wastes or have adverse impacts on the general environment. This conclusion assumes the positive, countervailing trends of enhanced pollution prevention

  7. [Scientometrics and bibliometrics of biomedical engineering periodicals and papers].

    PubMed

    Zhao, Ping; Xu, Ping; Li, Bingyan; Wang, Zhengrong

    2003-09-01

    This investigation was made to reveal the current status, research trend and research level of biomedical engineering in Chinese mainland by means of scientometrics and to assess the quality of the four domestic publications by bibliometrics. We identified all articles of four related publications by searching Chinese and foreign databases from 1997 to 2001. All articles collected or cited by these databases were searched and statistically analyzed for finding out the relevant distributions, including databases, years, authors, institutions, subject headings and subheadings. The source of sustentation funds and the related articles were analyzed too. The results showed that two journals were cited by two foreign databases and five Chinese databases simultaneously. The output of Journal of Biomedical Engineering was the highest. Its quantity of original papers cited by EI, CA and the totality of papers sponsored by funds were higher than those of the others, but the quantity and percentage per year of biomedical articles cited by EI were decreased in all. Inland core authors and institutions had come into being in the field of biomedical engineering. Their research topics were mainly concentrated on ten subject headings which included biocompatible materials, computer-assisted signal processing, electrocardiography, computer-assisted image processing, biomechanics, algorithms, electroencephalography, automatic data processing, mechanical stress, hemodynamics, mathematical computing, microcomputers, theoretical models, etc. The main subheadings were concentrated on instrumentation, physiopathology, diagnosis, therapy, ultrasonography, physiology, analysis, surgery, pathology, method, etc.

  8. A Perspective on Promoting Diversity in the Biomedical Research Workforce: The National Heart, Lung, and Blood Institute’s PRIDE Program

    PubMed Central

    Boyington, Josephine E.A.; Maihle, Nita J.; Rice, Treva K.; Gonzalez, Juan E.; Hess, Caryl A.; Makala, Levi H.; Jeffe, Donna B.; Ogedegbe, Gbenga; Rao, Dabeeru C.; Dávila-Román, Victor G.; Pace, Betty S.; Jean-Louis, Girardin; Boutjdir, Mohamed

    2016-01-01

    Aspiring junior investigators from groups underrepresented in the biomedical sciences face various challenges as they pursue research independence. However, the biomedical research enterprise needs their participation to effectively address critical research issues such as health disparities and health inequities. In this article, we share a research education and mentoring initiative that seeks to address this challenge: Programs to Increase Diversity among Individuals Engaged in Health Related Research (PRIDE), funded by the National Heart, Lung, and Blood Institute (NHLBI). This longitudinal research-education and mentoring program occurs through summer institute programs located at US-based academic institutions. Recruited participants are exposed to didactic and lab-based research-skill enhancement experiences, with year-round mentoring over the course of two years. Mentor-mentee matching is based on shared research interests to promote congruence and to enhance skill acquisition. Program descriptions and sample narratives of participants’ perceptions of PRIDE’s impact on their career progress are showcased. Additionally, we highlight the overall program design and structure of four of seven funded summer institutes that focus on cardiovascular disease, related conditions, and health disparities. Mentees’ testimonials about the value of the PRIDE mentoring approach in facilitating career development are also noted. Meeting the clinical and research needs of an increasingly diverse US population is an issue of national concern. The PRIDE initiative, which focuses on increasing research preparedness and professional development of groups underrepresented in the biomedical research workforce, with an emphasis on mentoring as the critical approach, provides a robust model that is impacting the careers of future investigators. PMID:27440978

  9. The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data.

    PubMed

    Margolis, Ronald; Derr, Leslie; Dunn, Michelle; Huerta, Michael; Larkin, Jennie; Sheehan, Jerry; Guyer, Mark; Green, Eric D

    2014-01-01

    Biomedical research has and will continue to generate large amounts of data (termed 'big data') in many formats and at all levels. Consequently, there is an increasing need to better understand and mine the data to further knowledge and foster new discovery. The National Institutes of Health (NIH) has initiated a Big Data to Knowledge (BD2K) initiative to maximize the use of biomedical big data. BD2K seeks to better define how to extract value from the data, both for the individual investigator and the overall research community, create the analytic tools needed to enhance utility of the data, provide the next generation of trained personnel, and develop data science concepts and tools that can be made available to all stakeholders. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  10. EXACT2: the semantics of biomedical protocols

    PubMed Central

    2014-01-01

    Background The reliability and reproducibility of experimental procedures is a cornerstone of scientific practice. There is a pressing technological need for the better representation of biomedical protocols to enable other agents (human or machine) to better reproduce results. A framework that ensures that all information required for the replication of experimental protocols is essential to achieve reproducibility. Methods We have developed the ontology EXACT2 (EXperimental ACTions) that is designed to capture the full semantics of biomedical protocols required for their reproducibility. To construct EXACT2 we manually inspected hundreds of published and commercial biomedical protocols from several areas of biomedicine. After establishing a clear pattern for extracting the required information we utilized text-mining tools to translate the protocols into a machine amenable format. We have verified the utility of EXACT2 through the successful processing of previously 'unseen' (not used for the construction of EXACT2) protocols. Results The paper reports on a fundamentally new version EXACT2 that supports the semantically-defined representation of biomedical protocols. The ability of EXACT2 to capture the semantics of biomedical procedures was verified through a text mining use case. In this EXACT2 is used as a reference model for text mining tools to identify terms pertinent to experimental actions, and their properties, in biomedical protocols expressed in natural language. An EXACT2-based framework for the translation of biomedical protocols to a machine amenable format is proposed. Conclusions The EXACT2 ontology is sufficient to record, in a machine processable form, the essential information about biomedical protocols. EXACT2 defines explicit semantics of experimental actions, and can be used by various computer applications. It can serve as a reference model for for the translation of biomedical protocols in natural language into a semantically

  11. The next generation of similarity measures that fully explore the semantics in biomedical ontologies.

    PubMed

    Couto, Francisco M; Pinto, H Sofia

    2013-10-01

    There is a prominent trend to augment and improve the formality of biomedical ontologies. For example, this is shown by the current effort on adding description logic axioms, such as disjointness. One of the key ontology applications that can take advantage of this effort is the conceptual (functional) similarity measurement. The presence of description logic axioms in biomedical ontologies make the current structural or extensional approaches weaker and further away from providing sound semantics-based similarity measures. Although beneficial in small ontologies, the exploration of description logic axioms by semantics-based similarity measures is computational expensive. This limitation is critical for biomedical ontologies that normally contain thousands of concepts. Thus in the process of gaining their rightful place, biomedical functional similarity measures have to take the journey of finding how this rich and powerful knowledge can be fully explored while keeping feasible computational costs. This manuscript aims at promoting and guiding the development of compelling tools that deliver what the biomedical community will require in a near future: a next-generation of biomedical similarity measures that efficiently and fully explore the semantics present in biomedical ontologies.

  12. Should biomedical research be like Airbnb?

    PubMed

    Bonazzi, Vivien R; Bourne, Philip E

    2017-04-01

    The thesis presented here is that biomedical research is based on the trusted exchange of services. That exchange would be conducted more efficiently if the trusted software platforms to exchange those services, if they exist, were more integrated. While simpler and narrower in scope than the services governing biomedical research, comparison to existing internet-based platforms, like Airbnb, can be informative. We illustrate how the analogy to internet-based platforms works and does not work and introduce The Commons, under active development at the National Institutes of Health (NIH) and elsewhere, as an example of the move towards platforms for research.

  13. Should biomedical research be like Airbnb?

    PubMed Central

    Bonazzi, Vivien R.

    2017-01-01

    The thesis presented here is that biomedical research is based on the trusted exchange of services. That exchange would be conducted more efficiently if the trusted software platforms to exchange those services, if they exist, were more integrated. While simpler and narrower in scope than the services governing biomedical research, comparison to existing internet-based platforms, like Airbnb, can be informative. We illustrate how the analogy to internet-based platforms works and does not work and introduce The Commons, under active development at the National Institutes of Health (NIH) and elsewhere, as an example of the move towards platforms for research. PMID:28388615

  14. Maximizing the return on taxpayers' investments in fundamental biomedical research.

    PubMed

    Lorsch, Jon R

    2015-05-01

    The National Institute of General Medical Sciences (NIGMS) at the U.S. National Institutes of Health has an annual budget of more than $2.3 billion. The institute uses these funds to support fundamental biomedical research and training at universities, medical schools, and other institutions across the country. My job as director of NIGMS is to work to maximize the scientific returns on the taxpayers' investments. I describe how we are optimizing our investment strategies and funding mechanisms, and how, in the process, we hope to create a more efficient and sustainable biomedical research enterprise.

  15. Project definition study for the National Biomedical Tracer Facility

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Roozen, K.

    The University of Alabama at Birmingham (UAB) has conducted a study of the proposed National Biomedical Tracer Facility (NBTF). In collaboration with General Atomics, RUST International, Coleman Research Corporation (CRC), IsoMed, Ernst and Young and the advisory committees, they have examined the issues relevant to the NBTF in terms of facility design, operating philosophy, and a business plan. They have utilized resources within UAB, CRC and Chem-Nuclear to develop recommendations on environmental, safety and health issues. The Institute of Medicine Panel`s Report on Isotopes for Medicine and the Life Sciences took the results of prior workshops further in developing recommendationsmore » for the mission of the NBTF. The IOM panel recommends that the NBTF accelerator have the capacity to accelerate protons to 80 MeV and a minimum of 750 microamperes of current. The panel declined to recommend a cyclotron or a linac. They emphasized a clear focus on research and development for isotope production including target design, separation chemistry and generator development. The facility needs to emphasize education and training in its mission. The facility must focus on radionuclide production for the research and clinical communities. The formation of a public-private partnership resembling the TRIUMF-Nordion model was encouraged. An advisory panel should assist with the NBTF operations and prioritization.« less

  16. NASA's Participation in the National Computational Grid

    NASA Technical Reports Server (NTRS)

    Feiereisen, William J.; Zornetzer, Steve F. (Technical Monitor)

    1998-01-01

    Over the last several years it has become evident that the character of NASA's supercomputing needs has changed. One of the major missions of the agency is to support the design and manufacture of aero- and space-vehicles with technologies that will significantly reduce their cost. It is becoming clear that improvements in the process of aerospace design and manufacturing will require a high performance information infrastructure that allows geographically dispersed teams to draw upon resources that are broader than traditional supercomputing. A computational grid draws together our information resources into one system. We can foresee the time when a Grid will allow engineers and scientists to use the tools of supercomputers, databases and on line experimental devices in a virtual environment to collaborate with distant colleagues. The concept of a computational grid has been spoken of for many years, but several events in recent times are conspiring to allow us to actually build one. In late 1997 the National Science Foundation initiated the Partnerships for Advanced Computational Infrastructure (PACI) which is built around the idea of distributed high performance computing. The Alliance lead, by the National Computational Science Alliance (NCSA), and the National Partnership for Advanced Computational Infrastructure (NPACI), lead by the San Diego Supercomputing Center, have been instrumental in drawing together the "Grid Community" to identify the technology bottlenecks and propose a research agenda to address them. During the same period NASA has begun to reformulate parts of two major high performance computing research programs to concentrate on distributed high performance computing and has banded together with the PACI centers to address the research agenda in common.

  17. Biomedical technology in Franconia.

    PubMed

    Efferth, T

    2000-01-01

    Medical instrumentation and biotechnology business is developing rapidly in Franconia. The universities of Bayreuth, Erlangen-Nürnberg, and Würzburg hold upper ranks in biomedical extramural funding research. They have a high competence in biomedical research, medical instrumentation, and biotechnology. The association "BioMedTec Franken e.V" has been founded at the beginning of 1999 both to foster the information exchange between universities, industry and politics and to facilitate the establishment of biomedical companies by means of science parks. In the IGZ (Innovation and Foundation Center Nürnberg-Fürth-Erlangen) 4,500 square meters of space are currently shared by 19 novel companies. Since 1985 60 companies in the IGZ had a total turnover of about 74 Mio Euro. The TGZ (Technologie- und Gründerzentrum) in Würzburg provides space for 11 companies. For the specific needs of biomedical technology companies further science parks will be set up in the near future. A science park for medical instrumentation will be founded in Erlangen (IZMP, Innovations- und Gründerzentrum für Medizintechnik und Pharma in der Region Nürnberg, Fürch, Erlangen). Furthermore, a Biomedical Technology Center and a Research Center for Bicompatible Materials are to be founded in Würzburg and Bayreuth, respectively. Several communication platforms (Bayern Innovativ, FORWISS, FTT, KIM, N-TEC-VISIT, TBU, WETTI etc.) allow the transfer of local academic research activities to industrial utilization and open new co-operation possibilities. International pharmaceutical companies (Novartis, Nürnberg; Pharmacia Upjohn, Erlangen) are located in Franconia. Central Franconia represents a national focus for medical instrumentation. The Erlangen settlement of the Medical Engineering Section of Siemens employs 4,500 people including approximately 1,000 employees in the Siemens research center.

  18. Funding of US biomedical research, 2003-2008.

    PubMed

    Dorsey, E Ray; de Roulet, Jason; Thompson, Joel P; Reminick, Jason I; Thai, Ashley; White-Stellato, Zachary; Beck, Christopher A; George, Benjamin P; Moses, Hamilton

    2010-01-13

    With the exception of the American Recovery and Reinvestment Act, funding support for biomedical research in the United States has slowed after a decade of doubling. However, the extent and scope of slowing are largely unknown. To quantify funding of biomedical research in the United States from 2003 to 2008. Publicly available data were used to quantify funding from government (federal, state, and local), private, and industry sources. Regression models were used to compare financial trends between 1994-2003 and 2003-2007. The numbers of new drug and device approvals by the US Food and Drug Administration over the same period were also evaluated. Funding and growth rates by source; numbers of US Food and Drug Administration approvals. Biomedical research funding increased from $75.5 billion in 2003 to $101.1 billion in 2007. In 2008, funding from the National Institutes of Health and industry totaled $88.8 billion. In 2007, funding from these sources, adjusted for inflation, was $90.2 billion. Adjusted for inflation, funding from 2003 to 2007 increased by 14%, for a compound annual growth rate of 3.4%. By comparison, funding from 1994 to 2003 increased at an annual rate of 7.8% (P < .001). In 2007, industry (58%) was the largest funder, followed by the federal government (33%). Modest increase in funding was not accompanied by an increase in approvals for drugs or devices. In 2007, the United States spent an estimated 4.5% of its total health expenditures on biomedical research and 0.1% on health services research. After a decade of doubling, the rate of increase in biomedical research funding slowed from 2003 to 2007, and after adjustment for inflation, the absolute level of funding from the National Institutes of Health and industry appears to have decreased by 2% in 2008.

  19. Roles and applications of biomedical ontologies in experimental animal science.

    PubMed

    Masuya, Hiroshi

    2012-01-01

    A huge amount of experimental data from past studies has played a vital role in the development of new knowledge and technologies in biomedical science. The importance of computational technologies for the reuse of data, data integration, and knowledge discoveries has also increased, providing means of processing large amounts of data. In recent years, information technologies related to "ontologies" have played more significant roles in the standardization, integration, and knowledge representation of biomedical information. This review paper outlines the history of data integration in biomedical science and its recent trends in relation to the field of experimental animal science.

  20. Maximizing the return on taxpayers' investments in fundamental biomedical research

    PubMed Central

    Lorsch, Jon R.

    2015-01-01

    The National Institute of General Medical Sciences (NIGMS) at the U.S. National Institutes of Health has an annual budget of more than $2.3 billion. The institute uses these funds to support fundamental biomedical research and training at universities, medical schools, and other institutions across the country. My job as director of NIGMS is to work to maximize the scientific returns on the taxpayers' investments. I describe how we are optimizing our investment strategies and funding mechanisms, and how, in the process, we hope to create a more efficient and sustainable biomedical research enterprise. PMID:25926703

  1. CAVEman: Standardized anatomical context for biomedical data mapping.

    PubMed

    Turinsky, Andrei L; Fanea, Elena; Trinh, Quang; Wat, Stephen; Hallgrímsson, Benedikt; Dong, Xiaoli; Shu, Xueling; Stromer, Julie N; Hill, Jonathan W; Edwards, Carol; Grosenick, Brenda; Yajima, Masumi; Sensen, Christoph W

    2008-01-01

    The authors have created a software system called the CAVEman, for the visual integration and exploration of heterogeneous anatomical and biomedical data. The CAVEman can be applied for both education and research tasks. The main component of the system is a three-dimensional digital atlas of the adult male human anatomy, structured according to the nomenclature of Terminologia Anatomica. The underlying data-indexing mechanism uses standard ontologies to map a range of biomedical data types onto the atlas. The CAVEman system is now used to visualize genetic processes in the context of the human anatomy and to facilitate visual exploration of the data. Through the use of Javatrade mark software, the atlas-based system is portable to virtually any computer environment, including personal computers and workstations. Existing Java tools for biomedical data analysis have been incorporated into the system. The affordability of virtual-reality installations has increased dramatically over the last several years. This creates new opportunities for educational scenarios that model important processes in a patient's body, including gene expression patterns, metabolic activity, the effects of interventions such as drug treatments, and eventually surgical simulations.

  2. Personnel Needs and Training for Biomedical and Behavioral Research. The 1985 Report of the Committee on National Needs for Biomedical and Behavioral Research Personnel.

    ERIC Educational Resources Information Center

    Institute of Medicine (NAS), Washington, DC.

    Designed to provide assistance in the assessment of the need for biomedical and behavioral research personnel, this report presents research findings related to specific medical careers. The review includes an examination of the system under which biomedical and behavioral scientists are trained for research careers and the United States…

  3. The Need for Veterinarians in Biomedical Research

    PubMed Central

    Rosol, Thomas J.; Moore, Rustin M.; Saville, William J.A.; Oglesbee, Michael J.; Rush, Laura J.; Mathes, Lawrence E.; Lairmore, Michael D.

    2010-01-01

    The number of veterinarians in the United States is inadequate to meet societal needs in biomedical research and public health. Areas of greatest need include translational medical research, veterinary pathology, laboratory-animal medicine, emerging infectious diseases, public health, academic medicine, and production-animal medicine. Veterinarians have unique skill sets that enable them to serve as leaders or members of interdisciplinary research teams involved in basic science and biomedical research with applications to animal or human health. There are too few graduate veterinarians to serve broad national needs in private practice; academia; local, state, and federal government agencies; and private industry. There are no easy solutions to the problem of increasing the number of veterinarians in biomedical research. Progress will require creativity, modification of priorities, broad-based communication, support from faculty and professional organizations, effective mentoring, education in research and alternative careers as part of the veterinary professional curriculum, and recognition of the value of research experience among professional schools’ admissions committees. New resources should be identified to improve communication and education, professional and graduate student programs in biomedical research, and support to junior faculty. These actions are necessary for the profession to sustain its viability as an integral part of biomedical research. PMID:19435992

  4. Scientific Computing Strategic Plan for the Idaho National Laboratory

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Whiting, Eric Todd

    Scientific computing is a critical foundation of modern science. Without innovations in the field of computational science, the essential missions of the Department of Energy (DOE) would go unrealized. Taking a leadership role in such innovations is Idaho National Laboratory’s (INL’s) challenge and charge, and is central to INL’s ongoing success. Computing is an essential part of INL’s future. DOE science and technology missions rely firmly on computing capabilities in various forms. Modeling and simulation, fueled by innovations in computational science and validated through experiment, are a critical foundation of science and engineering. Big data analytics from an increasing numbermore » of widely varied sources is opening new windows of insight and discovery. Computing is a critical tool in education, science, engineering, and experiments. Advanced computing capabilities in the form of people, tools, computers, and facilities, will position INL competitively to deliver results and solutions on important national science and engineering challenges. A computing strategy must include much more than simply computers. The foundational enabling component of computing at many DOE national laboratories is the combination of a showcase like data center facility coupled with a very capable supercomputer. In addition, network connectivity, disk storage systems, and visualization hardware are critical and generally tightly coupled to the computer system and co located in the same facility. The existence of these resources in a single data center facility opens the doors to many opportunities that would not otherwise be possible.« less

  5. Educational Technology Network: a computer conferencing system dedicated to applications of computers in radiology practice, research, and education.

    PubMed

    D'Alessandro, M P; Ackerman, M J; Sparks, S M

    1993-11-01

    Educational Technology Network (ET Net) is a free, easy to use, on-line computer conferencing system organized and funded by the National Library of Medicine that is accessible via the SprintNet (SprintNet, Reston, VA) and Internet (Merit, Ann Arbor, MI) computer networks. It is dedicated to helping bring together, in a single continuously running electronic forum, developers and users of computer applications in the health sciences, including radiology. ET Net uses the Caucus computer conferencing software (Camber-Roth, Troy, NY) running on a microcomputer. This microcomputer is located in the National Library of Medicine's Lister Hill National Center for Biomedical Communications and is directly connected to the SprintNet and the Internet networks. The advanced computer conferencing software of ET Net allows individuals who are separated in space and time to unite electronically to participate, at any time, in interactive discussions on applications of computers in radiology. A computer conferencing system such as ET Net allows radiologists to maintain contact with colleagues on a regular basis when they are not physically together. Topics of discussion on ET Net encompass all applications of computers in radiological practice, research, and education. ET Net has been in successful operation for 3 years and has a promising future aiding radiologists in the exchange of information pertaining to applications of computers in radiology.

  6. Biomedical technology prosperity game{trademark}

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Berman, M.; Boyack, K.W.; Wesenberg, D.L.

    1996-07-01

    Prosperity Games{trademark} are an outgrowth and adaptation of move/countermove and seminar War Games. Prosperity Games{trademark} are simulations that explore complex issues in a variety of areas including economics, politics, sociology, environment, education and research. These issues can be examined from a variety of perspectives ranging from a global, macroeconomic and geopolitical viewpoint down to the details of customer/supplier/market interactions in specific industries. All Prosperity Games{trademark} are unique in that both the game format and the player contributions vary from game to game. This report documents the Biomedical Technology Prosperity Game{trademark} conducted under the sponsorship of Sandia National Laboratories, the Defensemore » Advanced Research Projects Agency, and the Koop Foundation, Inc. Players were drawn from all stakeholders involved in biomedical technologies including patients, hospitals, doctors, insurance companies, legislators, suppliers/manufacturers, regulators, funding organizations, universities/laboratories, and the legal profession. The primary objectives of this game were to: (1) Identify advanced/critical technology issues that affect the cost and quality of health care. (2) Explore the development, patenting, manufacturing and licensing of needed technologies that would decrease costs while maintaining or improving quality. (3) Identify policy and regulatory changes that would reduce costs and improve quality and timeliness of health care delivery. (4) Identify and apply existing resources and facilities to develop and implement improved technologies and policies. (5) Begin to develop Biomedical Technology Roadmaps for industry and government cooperation. The deliberations and recommendations of these players provided valuable insights as to the views of this diverse group of decision makers concerning biomedical issues. Significant progress was made in the roadmapping of key areas in the biomedical technology

  7. [Main characteristics of current biomedical research, in Chile].

    PubMed

    Valdés S, Gloria; Armas M, Rodolfo; Reyes B, Humberto

    2012-04-01

    Biomedical research is a fundamental tool for the development of a country, requiring human and financial resources. To define some current characteristics of biomedical research, in Chile. Data on entities funding bio-medical research, participant institutions, and the number of active investigators for the period 2007-2009 were obtained from institutional sources; publications indexed in PubMed for 2008-2009 were analysed. Most financial resources invested in biomedical research projects (approximately US$ 19 million per year) came from the "Comisión Nacional de Investigación Científica y Tecnológica" (CONICYT), a state institution with 3 independent Funds administering competitive grant applications open annually to institutional or independent investigators in Chile. Other sources and universities raised the total amount to US$ 26 million. Since 2007 to 2009, 408 investigators participated in projects funded by CONICYT. The main participant institutions were Universidad de Chile and Pontificia Universidad Católica de Chile, both adding up to 84% of all funded projects. Independently, in 2009,160 research projects -mainly multi centric clinical trials- received approximately US$ 24 million from foreign pharmaceutical companies. Publications listed in PubMed were classified as "clinical research" (n = 879, including public health) or "basic biomedical research" (n = 312). Biomedical research in Chile is mainly supported by state funds and university resources, but clinical trials also obtained an almost equivalent amount from foreign resources. Investigators are predominantly located in two universities. A small number of MD-PhD programs are aimed to train and incorporate new scientists. Only a few new Medical Schools participate in biomedical research. A National Registry of biomedical research projects, including the clinical trials, is required among other initiatives to stimulate research in biomedical sciences in Chile.

  8. Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations.

    PubMed

    Bakal, Gokhan; Talari, Preetham; Kakani, Elijah V; Kavuluru, Ramakanth

    2018-06-01

    Identifying new potential treatment options for medical conditions that cause human disease burden is a central task of biomedical research. Since all candidate drugs cannot be tested with animal and clinical trials, in vitro approaches are first attempted to identify promising candidates. Likewise, identifying different causal relations between biomedical entities is also critical to understand biomedical processes. Generally, natural language processing (NLP) and machine learning are used to predict specific relations between any given pair of entities using the distant supervision approach. To build high accuracy supervised predictive models to predict previously unknown treatment and causative relations between biomedical entities based only on semantic graph pattern features extracted from biomedical knowledge graphs. We used 7000 treats and 2918 causes hand-curated relations from the UMLS Metathesaurus to train and test our models. Our graph pattern features are extracted from simple paths connecting biomedical entities in the SemMedDB graph (based on the well-known SemMedDB database made available by the U.S. National Library of Medicine). Using these graph patterns connecting biomedical entities as features of logistic regression and decision tree models, we computed mean performance measures (precision, recall, F-score) over 100 distinct 80-20% train-test splits of the datasets. For all experiments, we used a positive:negative class imbalance of 1:10 in the test set to model relatively more realistic scenarios. Our models predict treats and causes relations with high F-scores of 99% and 90% respectively. Logistic regression model coefficients also help us identify highly discriminative patterns that have an intuitive interpretation. We are also able to predict some new plausible relations based on false positives that our models scored highly based on our collaborations with two physician co-authors. Finally, our decision tree models are able to retrieve

  9. 75 FR 28782 - Extension of Period for Nominations to the National Medal of Technology and Innovation Nomination...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-05-24

    ... innovation and/or be familiar with the education, training, employment and management of technological... Innovations/Bioengineering and Biomedical Technology; Technology Management/Computing/IT/Manufacturing...] Extension of Period for Nominations to the National Medal of Technology and Innovation Nomination Evaluation...

  10. Status of Research in Biomedical Engineering 1968.

    ERIC Educational Resources Information Center

    National Inst. of General Medical Sciences (NIH), Bethesda, MD.

    This status report is divided into eight sections. The first four represent the classical engineering or building aspects of bioengineering and deal with biomedical instrumentation, prosthetics, man-machine systems and computer and information systems. The next three sections are related to the scientific, intellectual and academic influence of…

  11. e-Science platform for translational biomedical imaging research: running, statistics, and analysis

    NASA Astrophysics Data System (ADS)

    Wang, Tusheng; Yang, Yuanyuan; Zhang, Kai; Wang, Mingqing; Zhao, Jun; Xu, Lisa; Zhang, Jianguo

    2015-03-01

    In order to enable multiple disciplines of medical researchers, clinical physicians and biomedical engineers working together in a secured, efficient, and transparent cooperative environment, we had designed an e-Science platform for biomedical imaging research and application cross multiple academic institutions and hospitals in Shanghai and presented this work in SPIE Medical Imaging conference held in San Diego in 2012. In past the two-years, we implemented a biomedical image chain including communication, storage, cooperation and computing based on this e-Science platform. In this presentation, we presented the operating status of this system in supporting biomedical imaging research, analyzed and discussed results of this system in supporting multi-disciplines collaboration cross-multiple institutions.

  12. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update

    PubMed Central

    Afgan, Enis; Baker, Dannon; van den Beek, Marius; Blankenberg, Daniel; Bouvier, Dave; Čech, Martin; Chilton, John; Clements, Dave; Coraor, Nate; Eberhard, Carl; Grüning, Björn; Guerler, Aysam; Hillman-Jackson, Jennifer; Von Kuster, Greg; Rasche, Eric; Soranzo, Nicola; Turaga, Nitesh; Taylor, James; Nekrutenko, Anton; Goecks, Jeremy

    2016-01-01

    High-throughput data production technologies, particularly ‘next-generation’ DNA sequencing, have ushered in widespread and disruptive changes to biomedical research. Making sense of the large datasets produced by these technologies requires sophisticated statistical and computational methods, as well as substantial computational power. This has led to an acute crisis in life sciences, as researchers without informatics training attempt to perform computation-dependent analyses. Since 2005, the Galaxy project has worked to address this problem by providing a framework that makes advanced computational tools usable by non experts. Galaxy seeks to make data-intensive research more accessible, transparent and reproducible by providing a Web-based environment in which users can perform computational analyses and have all of the details automatically tracked for later inspection, publication, or reuse. In this report we highlight recently added features enabling biomedical analyses on a large scale. PMID:27137889

  13. Assessing the practice of biomedical ontology evaluation: Gaps and opportunities.

    PubMed

    Amith, Muhammad; He, Zhe; Bian, Jiang; Lossio-Ventura, Juan Antonio; Tao, Cui

    2018-04-01

    With the proliferation of heterogeneous health care data in the last three decades, biomedical ontologies and controlled biomedical terminologies play a more and more important role in knowledge representation and management, data integration, natural language processing, as well as decision support for health information systems and biomedical research. Biomedical ontologies and controlled terminologies are intended to assure interoperability. Nevertheless, the quality of biomedical ontologies has hindered their applicability and subsequent adoption in real-world applications. Ontology evaluation is an integral part of ontology development and maintenance. In the biomedicine domain, ontology evaluation is often conducted by third parties as a quality assurance (or auditing) effort that focuses on identifying modeling errors and inconsistencies. In this work, we first organized four categorical schemes of ontology evaluation methods in the existing literature to create an integrated taxonomy. Further, to understand the ontology evaluation practice in the biomedicine domain, we reviewed a sample of 200 ontologies from the National Center for Biomedical Ontology (NCBO) BioPortal-the largest repository for biomedical ontologies-and observed that only 15 of these ontologies have documented evaluation in their corresponding inception papers. We then surveyed the recent quality assurance approaches for biomedical ontologies and their use. We also mapped these quality assurance approaches to the ontology evaluation criteria. It is our anticipation that ontology evaluation and quality assurance approaches will be more widely adopted in the development life cycle of biomedical ontologies. Copyright © 2018 Elsevier Inc. All rights reserved.

  14. Biomedical and Behavioral Research Scientists: Their Training and Supply. Volume 1: Findings.

    ERIC Educational Resources Information Center

    National Academy of Sciences - National Research Council, Washington, DC. Office of Scientific and Engineering Personnel.

    This is the first of three volumes which presents the Committee on Biomedical and Behavioral Research Personnel's examination of the educational process that leads to doctoral degrees in biomedical and behavioral science (and to postdoctoral study in some cases) and the role of the National Research Service Awards (NRSA) training programs in it.…

  15. Programmatic Efforts at the National Institutes of Health to Promote and Support the Careers of Women in Biomedical Science

    PubMed Central

    Bunker Whittington, Kjersten; Cassidy, Sara K.B.; Filart, Rosemarie; Cornelison, Terri L.; Begg, Lisa; Austin Clayton, Janine

    2016-01-01

    Although women have reached parity at the training level in the biological sciences and medicine, they are still significantly underrepresented in the professoriate and in mid- and senior-level life science positions. Considerable effort has been devoted by individuals and organizations across science sectors to understanding this disparity and to developing interventions in support of women’s career development. The National Institutes of Health (NIH) formed the Office of Research on Women’s Health (ORWH) in 1990 with the goals of supporting initiatives to improve women’s health and providing opportunities and support for the recruitment, retention, reentry, and sustained advancement of women in biomedical careers. Here, the authors review several accomplishments and flagship activities initiated by the NIH and ORWH in support of women’s career development during this time. These include programming to support researchers returning to the workforce after a period away (Research Supplements to Promote Reentry into Biomedical and Behavioral Research Careers), career development awards made through the Building Interdisciplinary Research Careers in Women’s Health program, and trans-NIH involvement and activities stemming from the NIH Working Group on Women in Biomedical Careers. These innovative programs have contributed to advancement of women by supporting the professional and personal needs of women in science. The authors discuss the unique opportunities that accompany NIH partnerships with the scientific community, and conclude with a summary of the impact of these programs on women in science. PMID:27191836

  16. Programmatic Efforts at the National Institutes of Health to Promote and Support the Careers of Women in Biomedical Science.

    PubMed

    Plank-Bazinet, Jennifer L; Bunker Whittington, Kjersten; Cassidy, Sara K B; Filart, Rosemarie; Cornelison, Terri L; Begg, Lisa; Austin Clayton, Janine

    2016-08-01

    Although women have reached parity at the training level in the biological sciences and medicine, they are still significantly underrepresented in the professoriate and in mid- and senior-level life science positions. Considerable effort has been devoted by individuals and organizations across science sectors to understanding this disparity and to developing interventions in support of women's career development. The National Institutes of Health (NIH) formed the Office of Research on Women's Health (ORWH) in 1990 with the goals of supporting initiatives to improve women's health and providing opportunities and support for the recruitment, retention, reentry, and sustained advancement of women in biomedical careers. Here, the authors review several accomplishments and flagship activities initiated by the NIH and ORWH in support of women's career development during this time. These include programming to support researchers returning to the workforce after a period away (Research Supplements to Promote Reentry into Biomedical and Behavioral Research Careers), career development awards made through the Building Interdisciplinary Research Careers in Women's Health program, and trans-NIH involvement and activities stemming from the NIH Working Group on Women in Biomedical Careers. These innovative programs have contributed to advancement of women by supporting the professional and personal needs of women in science. The authors discuss the unique opportunities that accompany NIH partnerships with the scientific community, and conclude with a summary of the impact of these programs on women in science.

  17. An enhanced approach for biomedical image restoration using image fusion techniques

    NASA Astrophysics Data System (ADS)

    Karam, Ghada Sabah; Abbas, Fatma Ismail; Abood, Ziad M.; Kadhim, Kadhim K.; Karam, Nada S.

    2018-05-01

    Biomedical image is generally noisy and little blur due to the physical mechanisms of the acquisition process, so one of the common degradations in biomedical image is their noise and poor contrast. The idea of biomedical image enhancement is to improve the quality of the image for early diagnosis. In this paper we are using Wavelet Transformation to remove the Gaussian noise from biomedical images: Positron Emission Tomography (PET) image and Radiography (Radio) image, in different color spaces (RGB, HSV, YCbCr), and we perform the fusion of the denoised images resulting from the above denoising techniques using add image method. Then some quantive performance metrics such as signal -to -noise ratio (SNR), peak signal-to-noise ratio (PSNR), and Mean Square Error (MSE), etc. are computed. Since this statistical measurement helps in the assessment of fidelity and image quality. The results showed that our approach can be applied of Image types of color spaces for biomedical images.

  18. Environmental practices for biomedical research facilities.

    PubMed Central

    Medlin, E L; Grupenhoff, J T

    2000-01-01

    As a result of the Leadership Conference on Biomedical Research and the Environment, the Facilities Committee focused its work on the development of best environmental practices at biomedical research facilities at the university and independent research facility level as well as consideration of potential involvement of for-profit companies and government agencies. The designation "facilities" includes all related buildings and grounds, "green auditing" of buildings and programs, purchasing of furnishings and sources, energy efficiency, and engineering services (lighting, heating, air conditioning), among other activities. The committee made a number of recommendations, including development of a national council for environmental stewardship in biomedical research, development of a system of green auditing of such research facilities, and creation of programs for sustainable building and use. In addition, the committee recommended extension of education and training programs for environmental stewardship, in cooperation with facilities managers, for all research administrators and researchers. These programs would focus especially on graduate fellows and other students, as well as on science labs at levels K--12. PMID:11121360

  19. SOA-based digital library services and composition in biomedical applications.

    PubMed

    Zhao, Xia; Liu, Enjie; Clapworthy, Gordon J; Viceconti, Marco; Testi, Debora

    2012-06-01

    Carefully collected, high-quality data are crucial in biomedical visualization, and it is important that the user community has ready access to both this data and the high-performance computing resources needed by the complex, computational algorithms that will process it. Biological researchers generally require data, tools and algorithms from multiple providers to achieve their goals. This paper illustrates our response to the problems that result from this. The Living Human Digital Library (LHDL) project presented in this paper has taken advantage of Web Services to build a biomedical digital library infrastructure that allows clinicians and researchers not only to preserve, trace and share data resources, but also to collaborate at the data-processing level. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

  20. Crossing the Chasm: Information Technology to Biomedical Informatics

    PubMed Central

    Fahy, Brenda G.; Balke, C. William; Umberger, Gloria H.; Talbert, Jeffery; Canales, Denise Niles; Steltenkamp, Carol L.; Conigliaro, Joseph

    2011-01-01

    Accelerating the translation of new scientific discoveries to improve human health and disease management is the overall goal of a series of initiatives integrated in the National Institutes of Health (NIH) “Roadmap for Medical Research.” The Clinical and Translational Research Award (CTSA) program is, arguably, the most visible component of the NIH Roadmap providing resources to institutions to transform their clinical and translational research enterprises along the goals of the Roadmap. The CTSA program emphasizes biomedical informatics as a critical component for the accomplishment of the NIH’s translational objectives. To be optimally effective, emerging biomedical informatics programs must link with the information technology (IT) platforms of the enterprise clinical operations within academic health centers. This report details one academic health center’s transdisciplinary initiative to create an integrated academic discipline of biomedical informatics through the development of its infrastructure for clinical and translational science infrastructure and response to the CTSA mechanism. This approach required a detailed informatics strategy to accomplish these goals. This transdisciplinary initiative was the impetus for creation of a specialized biomedical informatics core, the Center for Biomedical Informatics (CBI). Development of the CBI codified the need to incorporate medical informatics including quality and safety informatics and enterprise clinical information systems within the CBI. This paper describes the steps taken to develop the biomedical informatics infrastructure, its integration with clinical systems at one academic health center, successes achieved, and barriers encountered during these efforts. PMID:21383632

  1. Crossing the chasm: information technology to biomedical informatics.

    PubMed

    Fahy, Brenda G; Balke, C William; Umberger, Gloria H; Talbert, Jeffery; Canales, Denise Niles; Steltenkamp, Carol L; Conigliaro, Joseph

    2011-06-01

    Accelerating the translation of new scientific discoveries to improve human health and disease management is the overall goal of a series of initiatives integrated in the National Institutes of Health (NIH) "Roadmap for Medical Research." The Clinical and Translational Science Award (CTSA) program is, arguably, the most visible component of the NIH Roadmap providing resources to institutions to transform their clinical and translational research enterprises along the goals of the Roadmap. The CTSA program emphasizes biomedical informatics as a critical component for the accomplishment of the NIH's translational objectives. To be optimally effective, emerging biomedical informatics programs must link with the information technology platforms of the enterprise clinical operations within academic health centers.This report details one academic health center's transdisciplinary initiative to create an integrated academic discipline of biomedical informatics through the development of its infrastructure for clinical and translational science infrastructure and response to the CTSA mechanism. This approach required a detailed informatics strategy to accomplish these goals. This transdisciplinary initiative was the impetus for creation of a specialized biomedical informatics core, the Center for Biomedical Informatics (CBI). Development of the CBI codified the need to incorporate medical informatics including quality and safety informatics and enterprise clinical information systems within the CBI. This article describes the steps taken to develop the biomedical informatics infrastructure, its integration with clinical systems at one academic health center, successes achieved, and barriers encountered during these efforts.

  2. Cloud Based Metalearning System for Predictive Modeling of Biomedical Data

    PubMed Central

    Vukićević, Milan

    2014-01-01

    Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. On the other side analysis of such large amounts of data is a difficult and computationally intensive task for most existing data mining algorithms. This problem is addressed by proposing a cloud based system that integrates metalearning framework for ranking and selection of best predictive algorithms for data at hand and open source big data technologies for analysis of biomedical data. PMID:24892101

  3. Getting to zero the biomedical way in Africa: outcomes of deliberation at the 2013 Biomedical HIV Prevention Forum in Abuja, Nigeria

    PubMed Central

    2014-01-01

    Background Over the last few decades, biomedical HIV prevention research had engaged multiple African stakeholders. There have however been few platforms to enable regional stakeholders to engage with one another. In partnership with the World AIDS Campaign International, the Institute of Public Health of Obafemi Awolowo University, and the National Agency for the Control of AIDS in Nigeria, the New HIV Vaccine and Microbicide Advocacy Society hosted a forum on biomedical HIV prevention research in Africa. Stakeholders’ present explored evidences related to biomedical HIV prevention research and development in Africa, and made recommendations to inform policy, guidelines and future research agenda. Discussion The BHPF hosted 342 participants. Topics discussed included the use of antiretrovirals for HIV prevention, considerations for biomedical HIV prevention among key populations; HIV vaccine development; HIV cure; community and civil society engagement; and ethical considerations in implementation of biomedical HIV prevention research. Participants identified challenges for implementation of proven efficacious interventions and discovery of other new prevention options for Africa. Concerns raised included limited funding by African governments, lack of cohesive advocacy and policy agenda for biomedical HIV prevention research and development by Africa, varied ethical practices, and limited support to communities’ capacity to actively engaged with clinical trial conducts. Participants recommended that the African Government implement the Abuja +12 declaration; the civil society build stronger partnerships with diverse stakeholders, and develop a coherent advocacy agenda that also enhances community research literacy; and researchers and sponsors of trials on the African continent establish a process for determining appropriate standards for trial conduct on the continent. Conclusion By highlighting key considerations for biomedical HIV prevention research and

  4. Getting to zero the biomedical way in Africa: outcomes of deliberation at the 2013 Biomedical HIV Prevention Forum in Abuja, Nigeria.

    PubMed

    Folayan, Morenike Oluwatoyin; Gottemoeller, Megan; Mburu, Rosemary; Brown, Brandon

    2014-01-01

    Over the last few decades, biomedical HIV prevention research had engaged multiple African stakeholders. There have however been few platforms to enable regional stakeholders to engage with one another. In partnership with the World AIDS Campaign International, the Institute of Public Health of Obafemi Awolowo University, and the National Agency for the Control of AIDS in Nigeria, the New HIV Vaccine and Microbicide Advocacy Society hosted a forum on biomedical HIV prevention research in Africa. Stakeholders' present explored evidences related to biomedical HIV prevention research and development in Africa, and made recommendations to inform policy, guidelines and future research agenda. The BHPF hosted 342 participants. Topics discussed included the use of antiretrovirals for HIV prevention, considerations for biomedical HIV prevention among key populations; HIV vaccine development; HIV cure; community and civil society engagement; and ethical considerations in implementation of biomedical HIV prevention research. Participants identified challenges for implementation of proven efficacious interventions and discovery of other new prevention options for Africa. Concerns raised included limited funding by African governments, lack of cohesive advocacy and policy agenda for biomedical HIV prevention research and development by Africa, varied ethical practices, and limited support to communities' capacity to actively engaged with clinical trial conducts. Participants recommended that the African Government implement the Abuja +12 declaration; the civil society build stronger partnerships with diverse stakeholders, and develop a coherent advocacy agenda that also enhances community research literacy; and researchers and sponsors of trials on the African continent establish a process for determining appropriate standards for trial conduct on the continent. By highlighting key considerations for biomedical HIV prevention research and development in Africa, the forum has

  5. Figure mining for biomedical research.

    PubMed

    Rodriguez-Esteban, Raul; Iossifov, Ivan

    2009-08-15

    Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types. This study describes a retrieval method that takes advantage of principles in image understanding, text mining and optical character recognition (OCR) to retrieve figure types defined conceptually. A search engine was developed to retrieve tables and figure types to aid computational and experimental research. http://iossifovlab.cshl.edu/figurome/.

  6. Software for biomedical engineering signal processing laboratory experiments.

    PubMed

    Tompkins, Willis J; Wilson, J

    2009-01-01

    In the early 1990's we developed a special computer program called UW DigiScope to provide a mechanism for anyone interested in biomedical digital signal processing to study the field without requiring any other instrument except a personal computer. There are many digital filtering and pattern recognition algorithms used in processing biomedical signals. In general, students have very limited opportunity to have hands-on access to the mechanisms of digital signal processing. In a typical course, the filters are designed non-interactively, which does not provide the student with significant understanding of the design constraints of such filters nor their actual performance characteristics. UW DigiScope 3.0 is the first major update since version 2.0 was released in 1994. This paper provides details on how the new version based on MATLAB! works with signals, including the filter design tool that is the programming interface between UW DigiScope and processing algorithms.

  7. Enhancing Graduate and Postdoctoral Education To Create a Sustainable Biomedical Workforce

    PubMed Central

    Fuhrmann, Cynthia N.

    2016-01-01

    PhD-trained biomedical scientists are moving into an increasingly diverse variety of careers within the sciences. However, graduate and postdoctoral training programs have historically focused on academic career preparation, and have not sufficiently prepared trainees for transitioning into other scientific careers. Advocates for science have raised the concern that the collective disregard of the broader career-development needs for predoctoral and postdoctoral trainees could drive talent away from science in upcoming generations. A shift is occurring, wherein universities are increasingly investing in centralized career development programs to address this need. In this Perspective, I reflect on the movement that brought biomedical PhD career development to the spotlight in recent years, and how this movement has influenced both the academic biomedical community and the field of career development. I offer recommendations for universities looking to establish or strengthen their career development programs, including recommendations for how to develop a campus culture that values career development as part of pre- and postdoctoral training. I also suggest steps that faculty might take to facilitate the career development of their mentees, regardless of the mentee's career aspirations. Finally, I reflect on recent national efforts to incentivize innovation, evaluation, and research in the field of biomedical PhD career development, and propose actions that the scientific community can take to support biomedical career development further as a scholarly discipline. These investments will enable new approaches to be rigorously tested and efficiently disseminated to support this rapidly growing field. Ultimately, strengthening biomedical career development will be essential for attracting the best talent to science and helping them efficiently move into careers that will sustain our nation's scientific enterprise. PMID:27762630

  8. Enhancing Graduate and Postdoctoral Education To Create a Sustainable Biomedical Workforce.

    PubMed

    Fuhrmann, Cynthia N

    2016-11-01

    PhD-trained biomedical scientists are moving into an increasingly diverse variety of careers within the sciences. However, graduate and postdoctoral training programs have historically focused on academic career preparation, and have not sufficiently prepared trainees for transitioning into other scientific careers. Advocates for science have raised the concern that the collective disregard of the broader career-development needs for predoctoral and postdoctoral trainees could drive talent away from science in upcoming generations. A shift is occurring, wherein universities are increasingly investing in centralized career development programs to address this need. In this Perspective, I reflect on the movement that brought biomedical PhD career development to the spotlight in recent years, and how this movement has influenced both the academic biomedical community and the field of career development. I offer recommendations for universities looking to establish or strengthen their career development programs, including recommendations for how to develop a campus culture that values career development as part of pre- and postdoctoral training. I also suggest steps that faculty might take to facilitate the career development of their mentees, regardless of the mentee's career aspirations. Finally, I reflect on recent national efforts to incentivize innovation, evaluation, and research in the field of biomedical PhD career development, and propose actions that the scientific community can take to support biomedical career development further as a scholarly discipline. These investments will enable new approaches to be rigorously tested and efficiently disseminated to support this rapidly growing field. Ultimately, strengthening biomedical career development will be essential for attracting the best talent to science and helping them efficiently move into careers that will sustain our nation's scientific enterprise.

  9. Biomedical sensor design using analog compressed sensing

    NASA Astrophysics Data System (ADS)

    Balouchestani, Mohammadreza; Krishnan, Sridhar

    2015-05-01

    The main drawback of current healthcare systems is the location-specific nature of the system due to the use of fixed/wired biomedical sensors. Since biomedical sensors are usually driven by a battery, power consumption is the most important factor determining the life of a biomedical sensor. They are also restricted by size, cost, and transmission capacity. Therefore, it is important to reduce the load of sampling by merging the sampling and compression steps to reduce the storage usage, transmission times, and power consumption in order to expand the current healthcare systems to Wireless Healthcare Systems (WHSs). In this work, we present an implementation of a low-power biomedical sensor using analog Compressed Sensing (CS) framework for sparse biomedical signals that addresses both the energy and telemetry bandwidth constraints of wearable and wireless Body-Area Networks (BANs). This architecture enables continuous data acquisition and compression of biomedical signals that are suitable for a variety of diagnostic and treatment purposes. At the transmitter side, an analog-CS framework is applied at the sensing step before Analog to Digital Converter (ADC) in order to generate the compressed version of the input analog bio-signal. At the receiver side, a reconstruction algorithm based on Restricted Isometry Property (RIP) condition is applied in order to reconstruct the original bio-signals form the compressed bio-signals with high probability and enough accuracy. We examine the proposed algorithm with healthy and neuropathy surface Electromyography (sEMG) signals. The proposed algorithm achieves a good level for Average Recognition Rate (ARR) at 93% and reconstruction accuracy at 98.9%. In addition, The proposed architecture reduces total computation time from 32 to 11.5 seconds at sampling-rate=29 % of Nyquist rate, Percentage Residual Difference (PRD)=26 %, Root Mean Squared Error (RMSE)=3 %.

  10. National Programs | Frederick National Laboratory for Cancer Research

    Cancer.gov

    The Frederick National Laboratoryis a shared national resource that offers access to a suite of advanced biomedical technologies, provides selected science and technology services, and maintains vast repositories of research materials available

  11. Alliance for Computational Science Collaboration HBCU Partnership at Fisk University. Final Report 2001

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Collins, W. E.

    2004-08-16

    Computational Science plays a big role in research and development in mathematics, science, engineering and biomedical disciplines. The Alliance for Computational Science Collaboration (ACSC) has the goal of training African-American and other minority scientists in the computational science field for eventual employment with the Department of Energy (DOE). The involvements of Historically Black Colleges and Universities (HBCU) in the Alliance provide avenues for producing future DOE African-American scientists. Fisk University has been participating in this program through grants from the DOE. The DOE grant supported computational science activities at Fisk University. The research areas included energy related projects, distributed computing,more » visualization of scientific systems and biomedical computing. Students' involvement in computational science research included undergraduate summer research at Oak Ridge National Lab, on-campus research involving the participation of undergraduates, participation of undergraduate and faculty members in workshops, and mentoring of students. These activities enhanced research and education in computational science, thereby adding to Fisk University's spectrum of research and educational capabilities. Among the successes of the computational science activities are the acceptance of three undergraduate students to graduate schools with full scholarships beginning fall 2002 (one for master degree program and two for Doctoral degree program).« less

  12. Biomedical Terminology Mapper for UML projects.

    PubMed

    Thibault, Julien C; Frey, Lewis

    2013-01-01

    As the biomedical community collects and generates more and more data, the need to describe these datasets for exchange and interoperability becomes crucial. This paper presents a mapping algorithm that can help developers expose local implementations described with UML through standard terminologies. The input UML class or attribute name is first normalized and tokenized, then lookups in a UMLS-based dictionary are performed. For the evaluation of the algorithm 142 UML projects were extracted from caGrid and automatically mapped to National Cancer Institute (NCI) terminology concepts. Resulting mappings at the UML class and attribute levels were compared to the manually curated annotations provided in caGrid. Results are promising and show that this type of algorithm could speed-up the tedious process of mapping local implementations to standard biomedical terminologies.

  13. Biomedical Terminology Mapper for UML projects

    PubMed Central

    Thibault, Julien C.; Frey, Lewis

    As the biomedical community collects and generates more and more data, the need to describe these datasets for exchange and interoperability becomes crucial. This paper presents a mapping algorithm that can help developers expose local implementations described with UML through standard terminologies. The input UML class or attribute name is first normalized and tokenized, then lookups in a UMLS-based dictionary are performed. For the evaluation of the algorithm 142 UML projects were extracted from caGrid and automatically mapped to National Cancer Institute (NCI) terminology concepts. Resulting mappings at the UML class and attribute levels were compared to the manually curated annotations provided in caGrid. Results are promising and show that this type of algorithm could speed-up the tedious process of mapping local implementations to standard biomedical terminologies. PMID:24303278

  14. Multi-Atlas Segmentation of Biomedical Images: A Survey

    PubMed Central

    Iglesias, Juan Eugenio; Sabuncu, Mert R.

    2015-01-01

    Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering work of Rohlfing, Brandt, Menzel and Maurer Jr (2004), Klein, Mensh, Ghosh, Tourville and Hirsch (2005), and Heckemann, Hajnal, Aljabar, Rueckert and Hammers (2006), is becoming one of the most widely-used and successful image segmentation techniques in biomedical applications. By manipulating and utilizing the entire dataset of “atlases” (training images that have been previously labeled, e.g., manually by an expert), rather than some model-based average representation, MAS has the flexibility to better capture anatomical variation, thus offering superior segmentation accuracy. This benefit, however, typically comes at a high computational cost. Recent advancements in computer hardware and image processing software have been instrumental in addressing this challenge and facilitated the wide adoption of MAS. Today, MAS has come a long way and the approach includes a wide array of sophisticated algorithms that employ ideas from machine learning, probabilistic modeling, optimization, and computer vision, among other fields. This paper presents a survey of published MAS algorithms and studies that have applied these methods to various biomedical problems. In writing this survey, we have three distinct aims. Our primary goal is to document how MAS was originally conceived, later evolved, and now relates to alternative methods. Second, this paper is intended to be a detailed reference of past research activity in MAS, which now spans over a decade (2003 – 2014) and entails novel methodological developments and application-specific solutions. Finally, our goal is to also present a perspective on the future of MAS, which, we believe, will be one of the dominant approaches in biomedical image segmentation. PMID:26201875

  15. Advancement of Women in the Biomedical Workforce: Insights for Success

    PubMed Central

    Barfield, Whitney L.; Plank-Bazinet, Jennifer L.; Clayton, Janine Austin

    2016-01-01

    Women continue to face unique barriers in the biomedical workforce that affect their advancement and retention in this field. The National Institutes of Health (NIH) formed the Working Group on Women in Biomedical Careers to address these issues. Through the efforts of the Working Group, the NIH funded 14 research grants to identify barriers or to develop and/or test interventions to support women in the biomedical workforce. The grantees that were funded through this endeavor later established the grassroots Research Partnership on Women in Biomedical Careers, and they continue to conduct research and disseminate information on the state of women in academic medicine. This Commentary explores the themes introduced in a collection of articles organized by the Research Partnership and published in this issue of Academic Medicine. The authors highlight the role government plays in the advancement of women in academic medicine and highlight the findings put forward in this collection. PMID:27306970

  16. Advancement of Women in the Biomedical Workforce: Insights for Success.

    PubMed

    Barfield, Whitney L; Plank-Bazinet, Jennifer L; Austin Clayton, Janine

    2016-08-01

    Women continue to face unique barriers in the biomedical workforce that affect their advancement and retention in this field. The National Institutes of Health (NIH) formed the Working Group on Women in Biomedical Careers to address these issues. Through the efforts of the working group, the NIH funded 14 research grants to identify barriers or to develop and/or test interventions to support women in the biomedical workforce. The grantees that were funded through this endeavor later established the grassroots Research Partnership on Women in Biomedical Careers, and they continue to conduct research and disseminate information on the state of women in academic medicine. This Commentary explores the themes introduced in a collection of articles organized by the research partnership and published in this issue of Academic Medicine. The authors highlight the role that government plays in the advancement of women in academic medicine and highlight the findings put forward in this collection.

  17. Proceedings of the First Biennial Space Biomedical Investigators' Workshop

    NASA Technical Reports Server (NTRS)

    1999-01-01

    The First Biennial Space Biomedical Investigators' Workshop, held January 11-13, 1999, was unique in that it assembled, for the first time, a broad cross section of NASA-funded biomedical researchers to present the current status of their projects and their plans for future investigations. All principal investigators with active, or recently-completed ground-based projects in NASA's Biomedical Research and Countermeasures Program that were funded through NASA's Office of Life and Microgravity Sciences and Applications were invited. Included were individual investigators funded through NASA Research Announcements, investigators with NASA Specialized Centers of Research and Training, investigators with the recently established National Space Biomedical Research Institute (NSBRI), and NASA civil servant investigators. Seventy-seven percent of all eligible projects were presented at the workshop. Thus, these Proceedings should provide a useful snapshot of the status of NASA-funded space biomedical research as of January 1999. An important workshop objective was to achieve free and open communication among the presenting investigators. Therefore, presentation of new and incomplete results, as well as hypotheses and ideas for future research, was encouraged. Comments and constructive criticisms from the presenters' colleagues were also encouraged. These ground rules resulted in many lively and useful discussions, during both the presentation sessions and informal evening gatherings and breaks.

  18. The current situation regarding the establishment of national ethical guidelines for biomedical research in Thailand and its neighboring countries.

    PubMed

    Kojima, Somei; Waikagul, Jitra; Rojekittikhun, Wichit; Keicho, Naoto

    2005-05-01

    This study discusses the establishment of ethical guidelines for ethical review for biomedical research performed in Thailand, and to some extent, in neighboring countries. There are differences, from country to country, at national and institutional levels regarding guidelines for ethical review committees. Only a handbook issued by Mahidol University describes guidelines for human genetic research and on research dealing with reproductive technology. Both these areas require special consideration to avoid violating human dignity, rights, and confidentiality. This indicates that further efforts should be made to establish research guidelines and/or principles dealing with the human genome.

  19. Extracting biomedical events from pairs of text entities

    PubMed Central

    2015-01-01

    Background Huge amounts of electronic biomedical documents, such as molecular biology reports or genomic papers are generated daily. Nowadays, these documents are mainly available in the form of unstructured free texts, which require heavy processing for their registration into organized databases. This organization is instrumental for information retrieval, enabling to answer the advanced queries of researchers and practitioners in biology, medicine, and related fields. Hence, the massive data flow calls for efficient automatic methods of text-mining that extract high-level information, such as biomedical events, from biomedical text. The usual computational tools of Natural Language Processing cannot be readily applied to extract these biomedical events, due to the peculiarities of the domain. Indeed, biomedical documents contain highly domain-specific jargon and syntax. These documents also describe distinctive dependencies, making text-mining in molecular biology a specific discipline. Results We address biomedical event extraction as the classification of pairs of text entities into the classes corresponding to event types. The candidate pairs of text entities are recursively provided to a multiclass classifier relying on Support Vector Machines. This recursive process extracts events involving other events as arguments. Compared to joint models based on Markov Random Fields, our model simplifies inference and hence requires shorter training and prediction times along with lower memory capacity. Compared to usual pipeline approaches, our model passes over a complex intermediate problem, while making a more extensive usage of sophisticated joint features between text entities. Our method focuses on the core event extraction of the Genia task of BioNLP challenges yielding the best result reported so far on the 2013 edition. PMID:26201478

  20. Incorporating collaboratory concepts into informatics in support of translational interdisciplinary biomedical research

    PubMed Central

    Lee, E. Sally; McDonald, David W.; Anderson, Nicholas; Tarczy-Hornoch, Peter

    2008-01-01

    Due to its complex nature, modern biomedical research has become increasingly interdisciplinary and collaborative in nature. Although a necessity, interdisciplinary biomedical collaboration is difficult. There is, however, a growing body of literature on the study and fostering of collaboration in fields such as computer supported cooperative work (CSCW) and information science (IS). These studies of collaboration provide insight into how to potentially alleviate the difficulties of interdisciplinary collaborative research. We, therefore, undertook a cross cutting study of science and engineering collaboratories to identify emergent themes. We review many relevant collaboratory concepts: (a) general collaboratory concepts across many domains: communication, common workspace and coordination, and data sharing and management, (b) specific collaboratory concepts of particular biomedical relevance: data integration and analysis, security structure, metadata and data provenance, and interoperability and data standards, (c) environmental factors that support collaboratories: administrative and management structure, technical support, and available funding as critical environmental factors, and (d) future considerations for biomedical collaboration: appropriate training and long-term planning. In our opinion, the collaboratory concepts we discuss can guide planning and design of future collaborative infrastructure by biomedical informatics researchers to alleviate some of the difficulties of interdisciplinary biomedical collaboration. PMID:18706852

  1. Research Workforce Diversity: The Case of Balancing National versus International Postdocs in US Biomedical Research.

    PubMed

    Ghaffarzadegan, Navid; Hawley, Joshua; Desai, Anand

    2014-03-01

    The US government has been increasingly supporting postdoctoral training in biomedical sciences to develop the domestic research workforce. However, current trends suggest that mostly international researchers benefit from the funding, many of whom might leave the USA after training. In this paper, we describe a model used to analyse the flow of national versus international researchers into and out of postdoctoral training. We calibrate our model in the case of the USA and successfully replicate the data. We use the model to conduct simulation-based analyses of effects of different policies on the diversity of postdoctoral researchers. Our model shows that capping the duration of postdoctoral careers, a policy proposed previously, favours international postdoctoral researchers. The analysis suggests that the leverage point to help the growth of domestic research workforce is in the pregraduate education area, and many policies implemented at the postgraduate level have minimal or unintended effects on diversity.

  2. Labor and skills gap analysis of the biomedical research workforce.

    PubMed

    Mason, Julie L; Johnston, Elizabeth; Berndt, Sam; Segal, Katie; Lei, Ming; Wiest, Jonathan S

    2016-08-01

    The United States has experienced an unsustainable increase of the biomedical research workforce over the past 3 decades. This expansion has led to a myriad of consequences, including an imbalance in the number of researchers and available tenure-track faculty positions, extended postdoctoral training periods, increasing age of investigators at first U.S. National Institutes of Health R01 grant, and exodus of talented individuals seeking careers beyond traditional academe. Without accurate data on the biomedical research labor market, challenges will remain in resolving these problems and in advising trainees of viable career options and the skills necessary to be productive in their careers. We analyzed workforce trends, integrating both traditional labor market information and real-time job data. We generated a profile of the current biomedical research workforce, performed labor gap analyses of occupations in the workforce at regional and national levels, and assessed skill transferability between core and complementary occupations. We conclude that although supply into the workforce and the number of job postings for occupations within that workforce have grown over the past decade, supply continues to outstrip demand. Moreover, we identify practical skill sets from real-time job postings to optimally equip trainees for an array of careers to effectively meet future workforce demand.-Mason, J. L., Johnston, E., Berndt, S., Segal, K., Lei, M., Wiest, J. S. Labor and skills gap analysis of the biomedical research workforce. © FASEB.

  3. Labor and skills gap analysis of the biomedical research workforce

    PubMed Central

    Mason, Julie L.; Johnston, Elizabeth; Berndt, Sam; Segal, Katie; Lei, Ming; Wiest, Jonathan S.

    2016-01-01

    The United States has experienced an unsustainable increase of the biomedical research workforce over the past 3 decades. This expansion has led to a myriad of consequences, including an imbalance in the number of researchers and available tenure-track faculty positions, extended postdoctoral training periods, increasing age of investigators at first U.S. National Institutes of Health R01 grant, and exodus of talented individuals seeking careers beyond traditional academe. Without accurate data on the biomedical research labor market, challenges will remain in resolving these problems and in advising trainees of viable career options and the skills necessary to be productive in their careers. We analyzed workforce trends, integrating both traditional labor market information and real-time job data. We generated a profile of the current biomedical research workforce, performed labor gap analyses of occupations in the workforce at regional and national levels, and assessed skill transferability between core and complementary occupations. We conclude that although supply into the workforce and the number of job postings for occupations within that workforce have grown over the past decade, supply continues to outstrip demand. Moreover, we identify practical skill sets from real-time job postings to optimally equip trainees for an array of careers to effectively meet future workforce demand.—Mason, J. L., Johnston, E., Berndt, S., Segal, K., Lei, M., Wiest, J. S. Labor and skills gap analysis of the biomedical research workforce. PMID:27075242

  4. Biomedical wellness challenges and opportunities

    NASA Astrophysics Data System (ADS)

    Tangney, John F.

    2012-06-01

    The mission of ONR's Human and Bioengineered Systems Division is to direct, plan, foster, and encourage Science and Technology in cognitive science, computational neuroscience, bioscience and bio-mimetic technology, social/organizational science, training, human factors, and decision making as related to future Naval needs. This paper highlights current programs that contribute to future biomedical wellness needs in context of humanitarian assistance and disaster relief. ONR supports fundamental research and related technology demonstrations in several related areas, including biometrics and human activity recognition; cognitive sciences; computational neurosciences and bio-robotics; human factors, organizational design and decision research; social, cultural and behavioral modeling; and training, education and human performance. In context of a possible future with automated casualty evacuation, elements of current science and technology programs are illustrated.

  5. Investigating the Mechanism of Action and the Identification of Breast Carcinogens by Computational Analysis of Female Rodent Carcinogens

    DTIC Science & Technology

    2006-08-01

    preparing a COBRE Molecular Targets Project with a goal to extend the computational work of Specific Aims of this project to the discovery of novel...million Center of Biomedical Research Excellence ( COBRE ) grant from the National Center for Research Resources at the National Institutes of Health...three year COBRE -funded project in Molecular Targets. My recruitment to the University of Louisville’s Brown Cancer Center and my proposed COBRE

  6. Learning to rank figures within a biomedical article.

    PubMed

    Liu, Feifan; Yu, Hong

    2014-01-01

    Hundreds of millions of figures are available in biomedical literature, representing important biomedical experimental evidence. This ever-increasing sheer volume has made it difficult for scientists to effectively and accurately access figures of their interest, the process of which is crucial for validating research facts and for formulating or testing novel research hypotheses. Current figure search applications can't fully meet this challenge as the "bag of figures" assumption doesn't take into account the relationship among figures. In our previous study, hundreds of biomedical researchers have annotated articles in which they serve as corresponding authors. They ranked each figure in their paper based on a figure's importance at their discretion, referred to as "figure ranking". Using this collection of annotated data, we investigated computational approaches to automatically rank figures. We exploited and extended the state-of-the-art listwise learning-to-rank algorithms and developed a new supervised-learning model BioFigRank. The cross-validation results show that BioFigRank yielded the best performance compared with other state-of-the-art computational models, and the greedy feature selection can further boost the ranking performance significantly. Furthermore, we carry out the evaluation by comparing BioFigRank with three-level competitive domain-specific human experts: (1) First Author, (2) Non-Author-In-Domain-Expert who is not the author nor co-author of an article but who works in the same field of the corresponding author of the article, and (3) Non-Author-Out-Domain-Expert who is not the author nor co-author of an article and who may or may not work in the same field of the corresponding author of an article. Our results show that BioFigRank outperforms Non-Author-Out-Domain-Expert and performs as well as Non-Author-In-Domain-Expert. Although BioFigRank underperforms First Author, since most biomedical researchers are either in- or out

  7. Learning to Rank Figures within a Biomedical Article

    PubMed Central

    Liu, Feifan; Yu, Hong

    2014-01-01

    Hundreds of millions of figures are available in biomedical literature, representing important biomedical experimental evidence. This ever-increasing sheer volume has made it difficult for scientists to effectively and accurately access figures of their interest, the process of which is crucial for validating research facts and for formulating or testing novel research hypotheses. Current figure search applications can't fully meet this challenge as the “bag of figures” assumption doesn't take into account the relationship among figures. In our previous study, hundreds of biomedical researchers have annotated articles in which they serve as corresponding authors. They ranked each figure in their paper based on a figure's importance at their discretion, referred to as “figure ranking”. Using this collection of annotated data, we investigated computational approaches to automatically rank figures. We exploited and extended the state-of-the-art listwise learning-to-rank algorithms and developed a new supervised-learning model BioFigRank. The cross-validation results show that BioFigRank yielded the best performance compared with other state-of-the-art computational models, and the greedy feature selection can further boost the ranking performance significantly. Furthermore, we carry out the evaluation by comparing BioFigRank with three-level competitive domain-specific human experts: (1) First Author, (2) Non-Author-In-Domain-Expert who is not the author nor co-author of an article but who works in the same field of the corresponding author of the article, and (3) Non-Author-Out-Domain-Expert who is not the author nor co-author of an article and who may or may not work in the same field of the corresponding author of an article. Our results show that BioFigRank outperforms Non-Author-Out-Domain-Expert and performs as well as Non-Author-In-Domain-Expert. Although BioFigRank underperforms First Author, since most biomedical researchers are either in- or out

  8. The landscape for epigenetic/epigenomic biomedical resources

    PubMed Central

    Shakya, Kabita; O'Connell, Mary J.; Ruskin, Heather J.

    2012-01-01

    Recent advances in molecular biology and computational power have seen the biomedical sector enter a new era, with corresponding development of Bioinformatics as a major discipline. Generation of enormous amounts of data has driven the need for more advanced storage solutions and shared access through a range of public repositories. The number of such biomedical resources is increasing constantly and mining these large and diverse data sets continues to present real challenges. This paper attempts a general overview of currently available resources, together with remarks on their data mining and analysis capabilities. Of interest here is the recent shift in focus from genetic to epigenetic/epigenomic research and the emergence and extension of resource provision to support this both at local and global scale. Biomedical text and numerical data mining are both considered, the first dealing with automated methods for analyzing research content and information extraction, and the second (broadly) with pattern recognition and prediction. Any summary and selection of resources is inherently limited, given the spectrum available, but the aim is to provide a guideline for the assessment and comparison of currently available provision, particularly as this relates to epigenetics/epigenomics. PMID:22874136

  9. Comparing the performance of biomedical clustering methods.

    PubMed

    Wiwie, Christian; Baumbach, Jan; Röttger, Richard

    2015-11-01

    Identifying groups of similar objects is a popular first step in biomedical data analysis, but it is error-prone and impossible to perform manually. Many computational methods have been developed to tackle this problem. Here we assessed 13 well-known methods using 24 data sets ranging from gene expression to protein domains. Performance was judged on the basis of 13 common cluster validity indices. We developed a clustering analysis platform, ClustEval (http://clusteval.mpi-inf.mpg.de), to promote streamlined evaluation, comparison and reproducibility of clustering results in the future. This allowed us to objectively evaluate the performance of all tools on all data sets with up to 1,000 different parameter sets each, resulting in a total of more than 4 million calculated cluster validity indices. We observed that there was no universal best performer, but on the basis of this wide-ranging comparison we were able to develop a short guideline for biomedical clustering tasks. ClustEval allows biomedical researchers to pick the appropriate tool for their data type and allows method developers to compare their tool to the state of the art.

  10. The National Institutes of Health's Biomedical Translational Research Information System (BTRIS): Design, Contents, Functionality and Experience to Date

    PubMed Central

    Cimino, James J.; Ayres, Elaine J.; Remennik, Lyubov; Rath, Sachi; Freedman, Robert; Beri, Andrea; Chen, Yang; Huser, Vojtech

    2013-01-01

    The US National Institutes of Health (NIH) has developed the Biomedical Translational Research Information System (BTRIS) to support researchers’ access to translational and clinical data. BTRIS includes a data repository, a set of programs for loading data from NIH electronic health records and research data management systems, an ontology for coding the disparate data with a single terminology, and a set of user interface tools that provide access to identified data from individual research studies and data across all studies from which individually identifiable data have been removed. This paper reports on unique design elements of the system, progress to date and user experience after five years of development and operation. PMID:24262893

  11. Figure Text Extraction in Biomedical Literature

    PubMed Central

    Kim, Daehyun; Yu, Hong

    2011-01-01

    Background Figures are ubiquitous in biomedical full-text articles, and they represent important biomedical knowledge. However, the sheer volume of biomedical publications has made it necessary to develop computational approaches for accessing figures. Therefore, we are developing the Biomedical Figure Search engine (http://figuresearch.askHERMES.org) to allow bioscientists to access figures efficiently. Since text frequently appears in figures, automatically extracting such text may assist the task of mining information from figures. Little research, however, has been conducted exploring text extraction from biomedical figures. Methodology We first evaluated an off-the-shelf Optical Character Recognition (OCR) tool on its ability to extract text from figures appearing in biomedical full-text articles. We then developed a Figure Text Extraction Tool (FigTExT) to improve the performance of the OCR tool for figure text extraction through the use of three innovative components: image preprocessing, character recognition, and text correction. We first developed image preprocessing to enhance image quality and to improve text localization. Then we adapted the off-the-shelf OCR tool on the improved text localization for character recognition. Finally, we developed and evaluated a novel text correction framework by taking advantage of figure-specific lexicons. Results/Conclusions The evaluation on 382 figures (9,643 figure texts in total) randomly selected from PubMed Central full-text articles shows that FigTExT performed with 84% precision, 98% recall, and 90% F1-score for text localization and with 62.5% precision, 51.0% recall and 56.2% F1-score for figure text extraction. When limiting figure texts to those judged by domain experts to be important content, FigTExT performed with 87.3% precision, 68.8% recall, and 77% F1-score. FigTExT significantly improved the performance of the off-the-shelf OCR tool we used, which on its own performed with 36.6% precision, 19

  12. Figure text extraction in biomedical literature.

    PubMed

    Kim, Daehyun; Yu, Hong

    2011-01-13

    Figures are ubiquitous in biomedical full-text articles, and they represent important biomedical knowledge. However, the sheer volume of biomedical publications has made it necessary to develop computational approaches for accessing figures. Therefore, we are developing the Biomedical Figure Search engine (http://figuresearch.askHERMES.org) to allow bioscientists to access figures efficiently. Since text frequently appears in figures, automatically extracting such text may assist the task of mining information from figures. Little research, however, has been conducted exploring text extraction from biomedical figures. We first evaluated an off-the-shelf Optical Character Recognition (OCR) tool on its ability to extract text from figures appearing in biomedical full-text articles. We then developed a Figure Text Extraction Tool (FigTExT) to improve the performance of the OCR tool for figure text extraction through the use of three innovative components: image preprocessing, character recognition, and text correction. We first developed image preprocessing to enhance image quality and to improve text localization. Then we adapted the off-the-shelf OCR tool on the improved text localization for character recognition. Finally, we developed and evaluated a novel text correction framework by taking advantage of figure-specific lexicons. The evaluation on 382 figures (9,643 figure texts in total) randomly selected from PubMed Central full-text articles shows that FigTExT performed with 84% precision, 98% recall, and 90% F1-score for text localization and with 62.5% precision, 51.0% recall and 56.2% F1-score for figure text extraction. When limiting figure texts to those judged by domain experts to be important content, FigTExT performed with 87.3% precision, 68.8% recall, and 77% F1-score. FigTExT significantly improved the performance of the off-the-shelf OCR tool we used, which on its own performed with 36.6% precision, 19.3% recall, and 25.3% F1-score for text

  13. Reaching for the cloud: on the lessons learned from grid computing technology transfer process to the biomedical community.

    PubMed

    Mohammed, Yassene; Dickmann, Frank; Sax, Ulrich; von Voigt, Gabriele; Smith, Matthew; Rienhoff, Otto

    2010-01-01

    Natural scientists such as physicists pioneered the sharing of computing resources, which led to the creation of the Grid. The inter domain transfer process of this technology has hitherto been an intuitive process without in depth analysis. Some difficulties facing the life science community in this transfer can be understood using the Bozeman's "Effectiveness Model of Technology Transfer". Bozeman's and classical technology transfer approaches deal with technologies which have achieved certain stability. Grid and Cloud solutions are technologies, which are still in flux. We show how Grid computing creates new difficulties in the transfer process that are not considered in Bozeman's model. We show why the success of healthgrids should be measured by the qualified scientific human capital and the opportunities created, and not primarily by the market impact. We conclude with recommendations that can help improve the adoption of Grid and Cloud solutions into the biomedical community. These results give a more concise explanation of the difficulties many life science IT projects are facing in the late funding periods, and show leveraging steps that can help overcoming the "vale of tears".

  14. Knowledge acquisition, semantic text mining, and security risks in health and biomedical informatics

    PubMed Central

    Huang, Jingshan; Dou, Dejing; Dang, Jiangbo; Pardue, J Harold; Qin, Xiao; Huan, Jun; Gerthoffer, William T; Tan, Ming

    2012-01-01

    Computational techniques have been adopted in medical and biological systems for a long time. There is no doubt that the development and application of computational methods will render great help in better understanding biomedical and biological functions. Large amounts of datasets have been produced by biomedical and biological experiments and simulations. In order for researchers to gain knowledge from original data, nontrivial transformation is necessary, which is regarded as a critical link in the chain of knowledge acquisition, sharing, and reuse. Challenges that have been encountered include: how to efficiently and effectively represent human knowledge in formal computing models, how to take advantage of semantic text mining techniques rather than traditional syntactic text mining, and how to handle security issues during the knowledge sharing and reuse. This paper summarizes the state-of-the-art in these research directions. We aim to provide readers with an introduction of major computing themes to be applied to the medical and biological research. PMID:22371823

  15. Biomedical Informatics on the Cloud: A Treasure Hunt for Advancing Cardiovascular Medicine.

    PubMed

    Ping, Peipei; Hermjakob, Henning; Polson, Jennifer S; Benos, Panagiotis V; Wang, Wei

    2018-04-27

    In the digital age of cardiovascular medicine, the rate of biomedical discovery can be greatly accelerated by the guidance and resources required to unearth potential collections of knowledge. A unified computational platform leverages metadata to not only provide direction but also empower researchers to mine a wealth of biomedical information and forge novel mechanistic insights. This review takes the opportunity to present an overview of the cloud-based computational environment, including the functional roles of metadata, the architecture schema of indexing and search, and the practical scenarios of machine learning-supported molecular signature extraction. By introducing several established resources and state-of-the-art workflows, we share with our readers a broadly defined informatics framework to phenotype cardiovascular health and disease. © 2018 American Heart Association, Inc.

  16. Biomedical signal and image processing.

    PubMed

    Cerutti, Sergio; Baselli, Giuseppe; Bianchi, Anna; Caiani, Enrico; Contini, Davide; Cubeddu, Rinaldo; Dercole, Fabio; Rienzo, Luca; Liberati, Diego; Mainardi, Luca; Ravazzani, Paolo; Rinaldi, Sergio; Signorini, Maria; Torricelli, Alessandro

    2011-01-01

    Generally, physiological modeling and biomedical signal processing constitute two important paradigms of biomedical engineering (BME): their fundamental concepts are taught starting from undergraduate studies and are more completely dealt with in the last years of graduate curricula, as well as in Ph.D. courses. Traditionally, these two cultural aspects were separated, with the first one more oriented to physiological issues and how to model them and the second one more dedicated to the development of processing tools or algorithms to enhance useful information from clinical data. A practical consequence was that those who did models did not do signal processing and vice versa. However, in recent years,the need for closer integration between signal processing and modeling of the relevant biological systems emerged very clearly [1], [2]. This is not only true for training purposes(i.e., to properly prepare the new professional members of BME) but also for the development of newly conceived research projects in which the integration between biomedical signal and image processing (BSIP) and modeling plays a crucial role. Just to give simple examples, topics such as brain–computer machine or interfaces,neuroengineering, nonlinear dynamical analysis of the cardiovascular (CV) system,integration of sensory-motor characteristics aimed at the building of advanced prostheses and rehabilitation tools, and wearable devices for vital sign monitoring and others do require an intelligent fusion of modeling and signal processing competences that are certainly peculiar of our discipline of BME.

  17. Research Workforce Diversity: The Case of Balancing National versus International Postdocs in US Biomedical Research

    PubMed Central

    Ghaffarzadegan, Navid; Hawley, Joshua; Desai, Anand

    2013-01-01

    The US government has been increasingly supporting postdoctoral training in biomedical sciences to develop the domestic research workforce. However, current trends suggest that mostly international researchers benefit from the funding, many of whom might leave the USA after training. In this paper, we describe a model used to analyse the flow of national versus international researchers into and out of postdoctoral training. We calibrate our model in the case of the USA and successfully replicate the data. We use the model to conduct simulation-based analyses of effects of different policies on the diversity of postdoctoral researchers. Our model shows that capping the duration of postdoctoral careers, a policy proposed previously, favours international postdoctoral researchers. The analysis suggests that the leverage point to help the growth of domestic research workforce is in the pregraduate education area, and many policies implemented at the postgraduate level have minimal or unintended effects on diversity. PMID:25368504

  18. Biomedical Engineering: A Compendium of Research Training Programs.

    ERIC Educational Resources Information Center

    National Inst. of General Medical Sciences (NIH), Bethesda, MD.

    This document was prepared to provide a comprehensive view of the programs in biomedical engineering in existence in 1969. These programs are supported by the National Institute of General Medical Sciences and are located at 18 universities. This compendium provides information as to the intent and content of these programs from data provided by…

  19. Perspectives on an education in computational biology and medicine.

    PubMed

    Rubinstein, Jill C

    2012-09-01

    The mainstream application of massively parallel, high-throughput assays in biomedical research has created a demand for scientists educated in Computational Biology and Bioinformatics (CBB). In response, formalized graduate programs have rapidly evolved over the past decade. Concurrently, there is increasing need for clinicians trained to oversee the responsible translation of CBB research into clinical tools. Physician-scientists with dedicated CBB training can facilitate such translation, positioning themselves at the intersection between computational biomedical research and medicine. This perspective explores key elements of the educational path to such a position, specifically addressing: 1) evolving perceptions of the role of the computational biologist and the impact on training and career opportunities; 2) challenges in and strategies for obtaining the core skill set required of a biomedical researcher in a computational world; and 3) how the combination of CBB with medical training provides a logical foundation for a career in academic medicine and/or biomedical research.

  20. [Impact of the inclusion of articles written in English in multilingual Spanish biomedical journals].

    PubMed

    Cremades Pallas, R; Burbano, P; Valcárcel de la Iglesia, M A; Burillo-Putze, G; Martín-Sánchez, F J; Miró, Ò

    2013-01-01

    To analyze the impact of articles published in English compared to those published in Spanish in multilingual Spanish biomedical journals. We analyzed the language of publication, the number of original articles, the nationality of the authors, the citations received, the citing article and the nationality of the citing authors among the articles published from 2008-2012 in 5 multilingual Spanish biomedical journals. The study included 4,296 documents, 85 of which were published in English (2%). The percentage of original articles and of non-Spanish authorship was significantly higher among these latter articles and they also achieved more citations and more citing articles per article published. The proportion of articles published in English by multilingual Spanish biomedical journals is low and they are more often originals signed exclusively by foreign authors and receive more citations than those published in Spanish, which are also more frequently made by foreign authors.

  1. In-line phase contrast micro-CT reconstruction for biomedical specimens.

    PubMed

    Fu, Jian; Tan, Renbo

    2014-01-01

    X-ray phase contrast micro computed tomography (micro-CT) can non-destructively provide the internal structure information of soft tissues and low atomic number materials. It has become an invaluable analysis tool for biomedical specimens. Here an in-line phase contrast micro-CT reconstruction technique is reported, which consists of a projection extraction method and the conventional filter back-projection (FBP) reconstruction algorithm. The projection extraction is implemented by applying the Fourier transform to the forward projections of in-line phase contrast micro-CT. This work comprises a numerical study of the method and its experimental verification using a biomedical specimen dataset measured at an X-ray tube source micro-CT setup. The numerical and experimental results demonstrate that the presented technique can improve the imaging contrast of biomedical specimens. It will be of interest for a wide range of in-line phase contrast micro-CT applications in medicine and biology.

  2. The National Education Association's Educational Computer Service. An Assessment.

    ERIC Educational Resources Information Center

    Software Publishers Association, Washington, DC.

    The Educational Computer Service (ECS) of the National Education Association (NEA) evaluates and distributes educational software. An investigation of ECS was conducted by the Computer Education Committee of the Software Publishers Association (SPA) at the request of SPA members. The SPA found that the service, as it is presently structured, is…

  3. Unsupervised Structure Detection in Biomedical Data.

    PubMed

    Vogt, Julia E

    2015-01-01

    A major challenge in computational biology is to find simple representations of high-dimensional data that best reveal the underlying structure. In this work, we present an intuitive and easy-to-implement method based on ranked neighborhood comparisons that detects structure in unsupervised data. The method is based on ordering objects in terms of similarity and on the mutual overlap of nearest neighbors. This basic framework was originally introduced in the field of social network analysis to detect actor communities. We demonstrate that the same ideas can successfully be applied to biomedical data sets in order to reveal complex underlying structure. The algorithm is very efficient and works on distance data directly without requiring a vectorial embedding of data. Comprehensive experiments demonstrate the validity of this approach. Comparisons with state-of-the-art clustering methods show that the presented method outperforms hierarchical methods as well as density based clustering methods and model-based clustering. A further advantage of the method is that it simultaneously provides a visualization of the data. Especially in biomedical applications, the visualization of data can be used as a first pre-processing step when analyzing real world data sets to get an intuition of the underlying data structure. We apply this model to synthetic data as well as to various biomedical data sets which demonstrate the high quality and usefulness of the inferred structure.

  4. Outcome of a Workshop on Applications of Protein Models in Biomedical Research

    PubMed Central

    Schwede, Torsten; Sali, Andrej; Honig, Barry; Levitt, Michael; Berman, Helen M.; Jones, David; Brenner, Steven E.; Burley, Stephen K.; Das, Rhiju; Dokholyan, Nikolay V.; Dunbrack, Roland L.; Fidelis, Krzysztof; Fiser, Andras; Godzik, Adam; Huang, Yuanpeng Janet; Humblet, Christine; Jacobson, Matthew P.; Joachimiak, Andrzej; Krystek, Stanley R.; Kortemme, Tanja; Kryshtafovych, Andriy; Montelione, Gaetano T.; Moult, John; Murray, Diana; Sanchez, Roberto; Sosnick, Tobin R.; Standley, Daron M.; Stouch, Terry; Vajda, Sandor; Vasquez, Max; Westbrook, John D.; Wilson, Ian A.

    2009-01-01

    Summary We describe the proceedings and conclusions from a “Workshop on Applications of Protein Models in Biomedical Research” that was held at University of California at San Francisco on 11 and 12 July, 2008. At the workshop, international scientists involved with structure modeling explored (i) how models are currently used in biomedical research, (ii) what the requirements and challenges for different applications are, and (iii) how the interaction between the computational and experimental research communities could be strengthened to advance the field. PMID:19217386

  5. Semantic biomedical resource discovery: a Natural Language Processing framework.

    PubMed

    Sfakianaki, Pepi; Koumakis, Lefteris; Sfakianakis, Stelios; Iatraki, Galatia; Zacharioudakis, Giorgos; Graf, Norbert; Marias, Kostas; Tsiknakis, Manolis

    2015-09-30

    individually or as a set of tools forming a computational pipeline. The results were compared with those obtained from an automated discovery of candidate biomedical tools. For the evaluation of the results, precision and recall measurements were used. Our results indicate that the proposed framework has a high precision and low recall, implying that the system returns essentially more relevant results than irrelevant. There are adequate biomedical ontologies already available, sufficiency of existing NLP tools and quality of biomedical annotation systems for the implementation of a biomedical resources discovery framework, based on the semantic annotation of resources and the use on NLP techniques. The results of the present study demonstrate the clinical utility of the application of the proposed framework which aims to bridge the gap between clinical question in natural language and efficient dynamic biomedical resources discovery.

  6. Biomedical, Artificial Intelligence, and DNA Computing Photonics Applications and Web Engineering, Wilga, May 2012

    NASA Astrophysics Data System (ADS)

    Romaniuk, Ryszard S.

    2012-05-01

    This paper is the fifth part (out of five) of the research survey of WILGA Symposium work, May 2012 Edition, concerned with Biomedical, Artificial Intelligence and DNA Computing technologies. It presents a digest of chosen technical work results shown by young researchers from different technical universities from this country during the Jubilee XXXth SPIE-IEEE Wilga 2012, May Edition, symposium on Photonics and Web Engineering. Topical tracks of the symposium embraced, among others, nanomaterials and nanotechnologies for photonics, sensory and nonlinear optical fibers, object oriented design of hardware, photonic metrology, optoelectronics and photonics applications, photonics-electronics co-design, optoelectronic and electronic systems for astronomy and high energy physics experiments, JET tokamak and pi-of-the sky experiments development. The symposium is an annual summary in the development of numerable Ph.D. theses carried out in this country in the area of advanced electronic and photonic systems. It is also a great occasion for SPIE, IEEE, OSA and PSP students to meet together in a large group spanning the whole country with guests from this part of Europe. A digest of Wilga references is presented [1-270].

  7. Topics in Biomedical Optics: Introduction

    NASA Astrophysics Data System (ADS)

    Hebden, Jeremy C.; Boas, David A.; George, John S.; Durkin, Anthony J.

    2003-06-01

    The field of biomedical optics is experiencing tremendous growth. Biomedical technologies contribute in the creation of devices used in healthcare of various specialties (ophthalmology, cardiology, anesthesiology, and immunology, etc.). Recent research in biomedical optics is discussed. Overviews of meetings held at the 2002 Optical Society of America Biomedical Topical Meetings are presented.

  8. The biomedical disciplines and the structure of biomedical and clinical knowledge.

    PubMed

    Nederbragt, H

    2000-11-01

    The relation between biomedical knowledge and clinical knowledge is discussed by comparing their respective structures. The knowledge of a disease as a biological phenomenon is constructed by the interaction of facts and theories from the main biomedical disciplines: epidemiology, diagnostics, clinical trial, therapy development and pathogenesis. Although these facts and theories are based on probabilities and extrapolations, the interaction provides a reliable and coherent structure, comparable to a Kuhnian paradigma. In the structure of clinical knowledge, i.e. knowledge of the patient with the disease, not only biomedical knowledge contributes to the structure but also economic and social relations, ethics and personal experience. However, the interaction between each of the participating "knowledges" in clinical knowledge is not based on mutual dependency and accumulation of different arguments from each, as in biomedical knowledge, but on competition and partial exclusion. Therefore, the structure of biomedical knowledge is different from that of clinical knowledge. This difference is used as the basis for a discussion in which the place of technology, evidence-based medicine and the gap between scientific and clinical knowledge are evaluated.

  9. Advances in Biomedical Imaging, Bioengineering, and Related Technologies for the Development of Biomarkers of Pancreatic Disease: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases and National Institute of Biomedical Imaging and Bioengineering Workshop

    PubMed Central

    Kelly, Kimberly A.; Hollingsworth, Michael A.; Brand, Randall E.; Liu, Christina H.; Singh, Vikesh K.; Srivastava, Sudhir; Wasan, Ajay D.; Yadav, Dhiraj; Andersen, Dana K.

    2015-01-01

    A workshop sponsored by the National Institute of Diabetes and Digestive and Kidney Diseases and the National Institute of Biomedical Imaging and Bioengineering focused on research gaps and opportunities in the development of new biomarkers of pancreatic disease. The session was held on July 22, 2015, and structured into six sessions: 1) introduction and overview, 2) keynote address, 3) new approaches to the diagnosis of chronic pancreatitis, 4) biomarkers of pain and inflammation, 5) new approaches to the detection of pancreatic cancer, and 6) shed exosomes, shed cells, and shed proteins. Recent advances in the fields of pancreatic imaging, functional markers of pancreatic disease, proteomics, molecular and cellular imaging, and detection of circulating cancer cells and exosomes were reviewed. Knowledge gaps and research needs were highlighted. The development of new methods for the non-invasive determination of pancreatic pathology, the use of cellular markers of pancreatic function, inflammation, pain, and malignancy, and the refinement of methods to identify cells and cellular constituents of pancreatic cancer were discussed. The further refinement of sophisticated technical methods, and the need for clinical studies to validate these new approaches in large-scale studies of patients at risk for the development of pancreatic disease was repeatedly emphasized. PMID:26465948

  10. Pharmacovigilance and Biomedical Informatics: A Model for Future Development.

    PubMed

    Beninger, Paul; Ibara, Michael A

    2016-12-01

    The discipline of pharmacovigilance is rooted in the aftermath of the thalidomide tragedy of 1961. It has evolved as a result of collaborative efforts by many individuals and organizations, including physicians, patients, Health Authorities, universities, industry, the World Health Organization, the Council for International Organizations of Medical Sciences, and the International Conference on Harmonisation. Biomedical informatics is rooted in technologically based methodologies and has evolved at the speed of computer technology. The purpose of this review is to bring a novel lens to pharmacovigilance, looking at the evolution and development of the field of pharmacovigilance from the perspective of biomedical informatics, with the explicit goal of providing a foundation for discussion of the future direction of pharmacovigilance as a discipline. For this review, we searched [publication trend for the log 10 value of the numbers of publications identified in PubMed] using the key words [informatics (INF), pharmacovigilance (PV), phar-macovigilance þ informatics (PV þ INF)], for [study types] articles published between [1994-2015]. We manually searched the reference lists of identified articles for additional information. Biomedical informatics has made significant contributions to the infrastructural development of pharmacovigilance. However, there has not otherwise been a systematic assessment of the role of biomedical informatics in enhancing the field of pharmacovigilance, and there has been little cross-discipline scholarship. Rapidly developing innovations in biomedical informatics pose a challenge to pharmacovigilance in finding ways to include new sources of safety information, including social media, massively linked databases, and mobile and wearable wellness applications and sensors. With biomedical informatics as a lens, it is evident that certain aspects of pharmacovigilance are evolving more slowly. However, the high levels of mutual interest in

  11. Multi-field query expansion is effective for biomedical dataset retrieval

    PubMed Central

    2017-01-01

    Abstract In the context of the bioCADDIE challenge addressing information retrieval of biomedical datasets, we propose a method for retrieval of biomedical data sets with heterogenous schemas through query reformulation. In particular, the method proposed transforms the initial query into a multi-field query that is then enriched with terms that are likely to occur in the relevant datasets. We compare and evaluate two query expansion strategies, one based on the Rocchio method and another based on a biomedical lexicon. We then perform a comprehensive comparative evaluation of our method on the bioCADDIE dataset collection for biomedical retrieval. We demonstrate the effectiveness of our multi-field query method compared to two baselines, with MAP improved from 0.2171 and 0.2669 to 0.2996. We also show the benefits of query expansion, where the Rocchio expanstion method improves the MAP for our two baselines from 0.2171 and 0.2669 to 0.335. We show that the Rocchio query expansion method slightly outperforms the one based on the biomedical lexicon as a source of terms, with an improvement of roughly 3% for MAP. However, the query expansion method based on the biomedical lexicon is much less resource intensive since it does not require computation of any relevance feedback set or any initial execution of the query. Hence, in term of trade-off between efficiency, execution time and retrieval accuracy, we argue that the query expansion method based on the biomedical lexicon offers the best performance for a prototype biomedical data search engine intended to be used at a large scale. In the official bioCADDIE challenge results, although our approach is ranked seventh in terms of the infNDCG evaluation metric, it ranks second in term of P@10 and NDCG. Hence, the method proposed here provides overall good retrieval performance in relation to the approaches of other competitors. Consequently, the observations made in this paper should benefit the development of a Data

  12. Biomedical research leaders: report on needs, opportunities, difficulties, education and training, and evaluation.

    PubMed Central

    Wilson, S H; Merkle, S; Brown, D; Moskowitz, J; Hurley, D; Brown, D; Bailey, B J; McClain, M; Misenhimer, M; Buckalew, J; Burks, T

    2000-01-01

    The National Association of Physicians for the Environment (NAPE) has assumed a leadership role in protecting environmental health in recent years. The Committee of Biomedical Research Leaders was convened at the recent NAPE Leadership Conference: Biomedical Research and the Environment held on 1--2 November 1999, at the National Institutes of Health, Bethesda, Maryland. This report summarizes the discussion of the committee and its recommendations. The charge to the committee was to raise and address issues that will promote and sustain environmental health, safety, and energy efficiency within the biomedical community. Leaders from every important research sector (industry laboratories, academic health centers and institutes, hospitals and care facilities, Federal laboratories, and community-based research facilities) were gathered in this committee to discuss issues relevant to promoting environmental health. The conference and this report focus on the themes of environmental stewardship, sustainable development and "best greening practices." Environmental stewardship, an emerging theme within and outside the biomedical community, symbolizes the effort to provide an integrated, synthesized, and concerted effort to protect the health of the environment in both the present and the future. The primary goal established by the committee is to promote environmentally responsible leadership in the biomedical research community. Key outcomes of the committee's discussion and deliberation were a) the need for a central organization to evaluate, promote, and oversee efforts in environmental stewardship; and b) immediate need to facilitate efficient information transfer relevant to protecting the global environment through a database/clearinghouse. Means to fulfill these needs are discussed in this report. PMID:11121363

  13. Biomedical research leaders: report on needs, opportunities, difficulties, education and training, and evaluation.

    PubMed

    Wilson, S H; Merkle, S; Brown, D; Moskowitz, J; Hurley, D; Brown, D; Bailey, B J; McClain, M; Misenhimer, M; Buckalew, J; Burks, T

    2000-12-01

    The National Association of Physicians for the Environment (NAPE) has assumed a leadership role in protecting environmental health in recent years. The Committee of Biomedical Research Leaders was convened at the recent NAPE Leadership Conference: Biomedical Research and the Environment held on 1--2 November 1999, at the National Institutes of Health, Bethesda, Maryland. This report summarizes the discussion of the committee and its recommendations. The charge to the committee was to raise and address issues that will promote and sustain environmental health, safety, and energy efficiency within the biomedical community. Leaders from every important research sector (industry laboratories, academic health centers and institutes, hospitals and care facilities, Federal laboratories, and community-based research facilities) were gathered in this committee to discuss issues relevant to promoting environmental health. The conference and this report focus on the themes of environmental stewardship, sustainable development and "best greening practices." Environmental stewardship, an emerging theme within and outside the biomedical community, symbolizes the effort to provide an integrated, synthesized, and concerted effort to protect the health of the environment in both the present and the future. The primary goal established by the committee is to promote environmentally responsible leadership in the biomedical research community. Key outcomes of the committee's discussion and deliberation were a) the need for a central organization to evaluate, promote, and oversee efforts in environmental stewardship; and b) immediate need to facilitate efficient information transfer relevant to protecting the global environment through a database/clearinghouse. Means to fulfill these needs are discussed in this report.

  14. Results of the First National Assessment of Computer Competence (The Printout).

    ERIC Educational Resources Information Center

    Balajthy, Ernest

    1988-01-01

    Discusses the findings of the National Assessment of Educational Progress 1985-86 survey of American students' computer competence, focusing on findings of interest to reading teachers who use computers. (MM)

  15. From the NIH: A Systems Approach to Increasing the Diversity of the Biomedical Research Workforce

    PubMed Central

    Valantine, Hannah A.; Lund, P. Kay; Gammie, Alison E.

    2016-01-01

    The National Institutes of Health (NIH) is committed to attracting, developing, and supporting the best scientists from all groups as an integral part of excellence in training. Biomedical research workforce diversity, capitalizing on the full spectrum of skills, talents, and viewpoints, is essential for solving complex human health challenges. Over the past few decades, the biomedical research workforce has benefited from NIH programs aimed at enhancing diversity. However, there is considerable room for improvement, particularly at the level of independent scientists and within scientific leadership. We provide a rationale and specific opportunities to develop and sustain a diverse biomedical research workforce through interventions that promote the successful transitions to different stages on the path toward completion of training and entry into the biomedical workforce. PMID:27587850

  16. Biomedical Telectrodes

    NASA Technical Reports Server (NTRS)

    Shepherd, C. K.

    1989-01-01

    Compact transmitters eliminate need for wires to monitors. Biomedical telectrode is small electronic package that attaches to patient in manner similar to small adhesive bandage. Patient wearing biomedical telectrodes moves freely, without risk of breaking or entangling wire connections. Especially beneficial to patients undergoing electrocardiographic monitoring in intensive-care units in hospitals. Eliminates nuisance of coping with wire connections while dressing and going to toilet.

  17. A novel biomedical image indexing and retrieval system via deep preference learning.

    PubMed

    Pang, Shuchao; Orgun, Mehmet A; Yu, Zhezhou

    2018-05-01

    -of-the-art techniques in indexing biomedical images. We propose a novel and automated indexing system based on deep preference learning to characterize biomedical images for developing computer aided diagnosis (CAD) systems in healthcare. Our proposed system shows an outstanding indexing ability and high efficiency for biomedical image retrieval applications and it can be used to collect and annotate the high-resolution images in a biomedical database for further biomedical image research and applications. Copyright © 2018 Elsevier B.V. All rights reserved.

  18. Multiscale Integration of -Omic, Imaging, and Clinical Data in Biomedical Informatics

    PubMed Central

    Phan, John H.; Quo, Chang F.; Cheng, Chihwen; Wang, May Dongmei

    2016-01-01

    This paper reviews challenges and opportunities in multiscale data integration for biomedical informatics. Biomedical data can come from different biological origins, data acquisition technologies, and clinical applications. Integrating such data across multiple scales (e.g., molecular, cellular/tissue, and patient) can lead to more informed decisions for personalized, predictive, and preventive medicine. However, data heterogeneity, community standards in data acquisition, and computational complexity are big challenges for such decision making. This review describes genomic and proteomic (i.e., molecular), histopathological imaging (i.e., cellular/tissue), and clinical (i.e., patient) data; it includes case studies for single-scale (e.g., combining genomic or histopathological image data), multiscale (e.g., combining histopathological image and clinical data), and multiscale and multiplatform (e.g., the Human Protein Atlas and The Cancer Genome Atlas) data integration. Numerous opportunities exist in biomedical informatics research focusing on integration of multiscale and multiplatform data. PMID:23231990

  19. Multiscale integration of -omic, imaging, and clinical data in biomedical informatics.

    PubMed

    Phan, John H; Quo, Chang F; Cheng, Chihwen; Wang, May Dongmei

    2012-01-01

    This paper reviews challenges and opportunities in multiscale data integration for biomedical informatics. Biomedical data can come from different biological origins, data acquisition technologies, and clinical applications. Integrating such data across multiple scales (e.g., molecular, cellular/tissue, and patient) can lead to more informed decisions for personalized, predictive, and preventive medicine. However, data heterogeneity, community standards in data acquisition, and computational complexity are big challenges for such decision making. This review describes genomic and proteomic (i.e., molecular), histopathological imaging (i.e., cellular/tissue), and clinical (i.e., patient) data; it includes case studies for single-scale (e.g., combining genomic or histopathological image data), multiscale (e.g., combining histopathological image and clinical data), and multiscale and multiplatform (e.g., the Human Protein Atlas and The Cancer Genome Atlas) data integration. Numerous opportunities exist in biomedical informatics research focusing on integration of multiscale and multiplatform data.

  20. Java and its future in biomedical computing.

    PubMed Central

    Rodgers, R P

    1996-01-01

    Java, a new object-oriented computing language related to C++, is receiving considerable attention due to its use in creating network-sharable, platform-independent software modules (known as "applets") that can be used with the World Wide Web. The Web has rapidly become the most commonly used information-retrieval tool associated with the global computer network known as the Internet, and Java has the potential to further accelerate the Web's application to medical problems. Java's potentially wide acceptance due to its Web association and its own technical merits also suggests that it may become a popular language for non-Web-based, object-oriented computing. PMID:8880677

  1. [Open access :an opportunity for biomedical research].

    PubMed

    Duchange, Nathalie; Autard, Delphine; Pinhas, Nicole

    2008-01-01

    Open access within the scientific community depends on the scientific context and the practices of the field. In the biomedical domain, the communication of research results is characterised by the importance of the peer reviewing process, the existence of a hierarchy among journals and the transfer of copyright to the editor. Biomedical publishing has become a lucrative market and the growth of electronic journals has not helped lower the costs. Indeed, it is difficult for today's public institutions to gain access to all the scientific literature. Open access is thus imperative, as demonstrated through the positions taken by a growing number of research funding bodies, the development of open access journals and efforts made in promoting open archives. This article describes the setting up of an Inserm portal for publication in the context of the French national protocol for open-access self-archiving and in an international context.

  2. DOORS to the semantic web and grid with a PORTAL for biomedical computing.

    PubMed

    Taswell, Carl

    2008-03-01

    The semantic web remains in the early stages of development. It has not yet achieved the goals envisioned by its founders as a pervasive web of distributed knowledge and intelligence. Success will be attained when a dynamic synergism can be created between people and a sufficient number of infrastructure systems and tools for the semantic web in analogy with those for the original web. The domain name system (DNS), web browsers, and the benefits of publishing web pages motivated many people to register domain names and publish web sites on the original web. An analogous resource label system, semantic search applications, and the benefits of collaborative semantic networks will motivate people to register resource labels and publish resource descriptions on the semantic web. The Domain Ontology Oriented Resource System (DOORS) and Problem Oriented Registry of Tags and Labels (PORTAL) are proposed as infrastructure systems for resource metadata within a paradigm that can serve as a bridge between the original web and the semantic web. The Internet Registry Information Service (IRIS) registers [corrected] domain names while DNS publishes domain addresses with mapping of names to addresses for the original web. Analogously, PORTAL registers resource labels and tags while DOORS publishes resource locations and descriptions with mapping of labels to locations for the semantic web. BioPORT is proposed as a prototype PORTAL registry specific for the problem domain of biomedical computing.

  3. Biomedical Applications of NASA Science and Technology

    NASA Technical Reports Server (NTRS)

    Brown, James N., Jr.

    1968-01-01

    During the period 15 September 1968 to 14 December 1968, the NASA supported Biomedical Application Team at the Research Triangle Institute has identified 6 new problems, performed significant activities on 15 of the active problems identified previously, performed 5 computer searches of the NASA aerospace literature, and maintained one current awareness search. As a partial result of these activities, one technology transfer was accomplished. As a part of continuing problem review, 13 problems were classified inactive. Activities during the quarter involved all phases of team activity with respect to biomedical problems. As has been observed in preceding years, it has been exceedingly difficult to arrange meetings with medical investigators during the fourth quarter of the calendar year. This is a result of a combination of factors. Teaching requirements, submission of grant applications and holidays are the most significant factors involved. As a result, the numbers of new problems identified and of transfers and potential transfers are relatively low during this quarter. Most of our activities have thus been directed toward obtaining information related to problems already identified. Consequently, during the next quarter we will follow up on these activities with the expectation that transfers will be accomplished on a number of them. In addition, the normal availability of researchers to the team is expected to be restored during this quarter, permitting an increase in new problem identification activities as well as follow-up with other researchers on old problems. Another activity scheduled for the next quarter is consultation with several interested biomedical equipment manufacturers to explore means of effective interaction between the Biomedical Application Team and these companies.

  4. General guidelines for biomedical software development

    PubMed Central

    Silva, Luis Bastiao; Jimenez, Rafael C.; Blomberg, Niklas; Luis Oliveira, José

    2017-01-01

    Most bioinformatics tools available today were not written by professional software developers, but by people that wanted to solve their own problems, using computational solutions and spending the minimum time and effort possible, since these were just the means to an end. Consequently, a vast number of software applications are currently available, hindering the task of identifying the utility and quality of each. At the same time, this situation has hindered regular adoption of these tools in clinical practice. Typically, they are not sufficiently developed to be used by most clinical researchers and practitioners. To address these issues, it is necessary to re-think how biomedical applications are built and adopt new strategies that ensure quality, efficiency, robustness, correctness and reusability of software components. We also need to engage end-users during the development process to ensure that applications fit their needs. In this review, we present a set of guidelines to support biomedical software development, with an explanation of how they can be implemented and what kind of open-source tools can be used for each specific topic. PMID:28443186

  5. Are Graduate Students Rational? Evidence from the Market for Biomedical Scientists

    PubMed Central

    Blume-Kohout, Margaret E.; Clack, John W.

    2013-01-01

    The U.S. National Institutes of Health (NIH) budget expansion from 1998 through 2003 increased demand for biomedical research, raising relative wages and total employment in the market for biomedical scientists. However, because research doctorates in biomedical sciences can often take six years or more to complete, the full labor supply response to such changes in market conditions is not immediate, but rather is observed over a period of several years. Economic rational expectations models assume that prospective students anticipate these future changes, and also that students take into account the opportunity costs of their pursuing graduate training. Prior empirical research on student enrollment and degree completions in science and engineering (S&E) fields indicates that “cobweb” expectations prevail: that is, at least in theory, prospective graduate students respond to contemporaneous changes in market wages and employment, but do not forecast further changes that will arise by the time they complete their degrees and enter the labor market. In this article, we analyze time-series data on wages and employment of biomedical scientists versus alternative careers, on completions of S&E bachelor's degrees and biomedical sciences PhDs, and on research expenditures funded both by NIH and by biopharmaceutical firms, to examine the responsiveness of the biomedical sciences labor supply to changes in market conditions. Consistent with previous studies, we find that enrollments and completions in biomedical sciences PhD programs are responsive to market conditions at the time of students' enrollment. More striking, however, is the close correspondence between graduate student enrollments and completions, and changes in availability of NIH-funded traineeships, fellowships, and research assistantships. PMID:24376573

  6. Are graduate students rational? Evidence from the market for biomedical scientists.

    PubMed

    Blume-Kohout, Margaret E; Clack, John W

    2013-01-01

    The U.S. National Institutes of Health (NIH) budget expansion from 1998 through 2003 increased demand for biomedical research, raising relative wages and total employment in the market for biomedical scientists. However, because research doctorates in biomedical sciences can often take six years or more to complete, the full labor supply response to such changes in market conditions is not immediate, but rather is observed over a period of several years. Economic rational expectations models assume that prospective students anticipate these future changes, and also that students take into account the opportunity costs of their pursuing graduate training. Prior empirical research on student enrollment and degree completions in science and engineering (S&E) fields indicates that "cobweb" expectations prevail: that is, at least in theory, prospective graduate students respond to contemporaneous changes in market wages and employment, but do not forecast further changes that will arise by the time they complete their degrees and enter the labor market. In this article, we analyze time-series data on wages and employment of biomedical scientists versus alternative careers, on completions of S&E bachelor's degrees and biomedical sciences PhDs, and on research expenditures funded both by NIH and by biopharmaceutical firms, to examine the responsiveness of the biomedical sciences labor supply to changes in market conditions. Consistent with previous studies, we find that enrollments and completions in biomedical sciences PhD programs are responsive to market conditions at the time of students' enrollment. More striking, however, is the close correspondence between graduate student enrollments and completions, and changes in availability of NIH-funded traineeships, fellowships, and research assistantships.

  7. Implantable biomedical devices on bioresorbable substrates

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Rogers, John A.; Kim, Dae-Hyeong; Omenetto, Fiorenzo

    Provided herein are implantable biomedical devices and methods of administering implantable biomedical devices, making implantable biomedical devices, and using implantable biomedical devices to actuate a target tissue or sense a parameter associated with the target tissue in a biological environment.

  8. Biomedical Interdisciplinary Curriculum Project: BIP (Biomedical Instrumentation Package) User's Manual.

    ERIC Educational Resources Information Center

    Biomedical Interdisciplinary Curriculum Project, Berkeley, CA.

    Described is the Biomedical Instrument Package (BIP) and its use. The BIP was developed for use in understanding colorimetry, sound, electricity, and bioelectric phenomena. It can also be used in a wide range of measurements such as current, voltage, resistance, temperature, and pH. Though it was developed primarily for use in biomedical science…

  9. Computer-Based National Information Systems. Technology and Public Policy Issues.

    ERIC Educational Resources Information Center

    Congress of the U.S., Washington, DC. Office of Technology Assessment.

    A general introduction to computer based national information systems, and the context and basis for future studies are provided in this report. Chapter One, the introduction, summarizes computers and information systems and their relation to society, the structure of information policy issues, and public policy issues. Chapter Two describes the…

  10. Leveraging biomedical ontologies and annotation services to organize microbiome data from Mammalian hosts.

    PubMed

    Sarkar, Indra Neil

    2010-11-13

    A better understanding of commensal microbiotic communities ("microbiomes") may provide valuable insights to human health. Towards this goal, an essential step may be the development of approaches to organize data that can enable comparative hypotheses across mammalian microbiomes. The present study explores the feasibility of using existing biomedical informatics resources - especially focusing on those available at the National Center for Biomedical Ontology - to organize microbiome data contained within large sequence repositories, such as GenBank. The results indicate that the Foundational Model of Anatomy and SNOMED CT can be used to organize greater than 90% of the bacterial organisms associated with 10 domesticated mammalian species. The promising findings suggest that the current biomedical informatics infrastructure may be used towards the organizing of microbiome data beyond humans. Furthermore, the results identify key concepts that might be organized into a semantic structure for incorporation into subsequent annotations that could facilitate comparative biomedical hypotheses pertaining to human health.

  11. The national public's values and interests related to the Arctic National Wildlife Refuge: A computer content analysis

    Treesearch

    David N. Bengston; David P. Fan; Roger Kaye

    2010-01-01

    This study examined the national public's values and interests related to the Arctic National Wildlife Refuge. Computer content analysis was used to analyze more than 23,000 media stories about the refuge from 1995 through 2007. Ten main categories of Arctic National Wildlife Refuge values and interests emerged from the analysis, reflecting a diversity of values,...

  12. Community outreach at biomedical research facilities.

    PubMed

    Goldman, M; Hedetniemi, J N; Herbert, E R; Sassaman, J S; Walker, B C

    2000-12-01

    For biomedical researchers to fulfill their responsibility for protecting the environment, they must do more than meet the scientific challenge of reducing the number and volume of hazardous materials used in their laboratories and the engineering challenge of reducing pollution and shifting to cleaner energy sources. They must also meet the public relations challenge of informing and involving their neighbors in these efforts. The experience of the Office of Community Liaison of the National Institutes of Health (NIH) in meeting the latter challenge offers a model and several valuable lessons for other biomedical research facilities to follow. This paper is based on presentations by an expert panel during the Leadership Conference on Biomedical Research and the Environment held 1--2 November 1999 at NIH, Bethesda, Maryland. The risks perceived by community members are often quite different from those identified by officials at the biomedical research facility. The best antidote for misconceptions is more and better information. If community organizations are to be informed participants in the decision-making process, they need a simple but robust mechanism for identifying and evaluating the environmental hazards in their community. Local government can and should be an active and fully informed partner in planning and emergency preparedness. In some cases this can reduce the regulatory burden on the biomedical research facility. In other cases it might simplify and expedite the permitting process or help the facility disseminate reliable information to the community. When a particular risk, real or perceived, is of special concern to the community, community members should be involved in the design, implementation, and evaluation of targeted risk assessment activities. Only by doing so will the community have confidence in the results of those activities. NIH has involved community members in joint efforts to deal with topics as varied as recycling and soil

  13. Mining biomedical images towards valuable information retrieval in biomedical and life sciences

    PubMed Central

    Ahmed, Zeeshan; Zeeshan, Saman; Dandekar, Thomas

    2016-01-01

    Biomedical images are helpful sources for the scientists and practitioners in drawing significant hypotheses, exemplifying approaches and describing experimental results in published biomedical literature. In last decades, there has been an enormous increase in the amount of heterogeneous biomedical image production and publication, which results in a need for bioimaging platforms for feature extraction and analysis of text and content in biomedical images to take advantage in implementing effective information retrieval systems. In this review, we summarize technologies related to data mining of figures. We describe and compare the potential of different approaches in terms of their developmental aspects, used methodologies, produced results, achieved accuracies and limitations. Our comparative conclusions include current challenges for bioimaging software with selective image mining, embedded text extraction and processing of complex natural language queries. PMID:27538578

  14. Minimizing the semantic gap in biomedical content-based image retrieval

    NASA Astrophysics Data System (ADS)

    Guan, Haiying; Antani, Sameer; Long, L. Rodney; Thoma, George R.

    2010-03-01

    A major challenge in biomedical Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings that minimize the semantic gap between the high-level biomedical semantic concepts and the low-level visual features in images. This paper presents a comprehensive learning-based scheme toward meeting this challenge and improving retrieval quality. The article presents two algorithms: a learning-based feature selection and fusion algorithm and the Ranking Support Vector Machine (Ranking SVM) algorithm. The feature selection algorithm aims to select 'good' features and fuse them using different similarity measurements to provide a better representation of the high-level concepts with the low-level image features. Ranking SVM is applied to learn the retrieval rank function and associate the selected low-level features with query concepts, given the ground-truth ranking of the training samples. The proposed scheme addresses four major issues in CBIR to improve the retrieval accuracy: image feature extraction, selection and fusion, similarity measurements, the association of the low-level features with high-level concepts, and the generation of the rank function to support high-level semantic image retrieval. It models the relationship between semantic concepts and image features, and enables retrieval at the semantic level. We apply it to the problem of vertebra shape retrieval from a digitized spine x-ray image set collected by the second National Health and Nutrition Examination Survey (NHANES II). The experimental results show an improvement of up to 41.92% in the mean average precision (MAP) over conventional image similarity computation methods.

  15. Nanoparticles for Biomedical Imaging

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Nune, Satish K.; Gunda, Padmaja; Thallapally, Praveen K.

    2009-11-01

    Background: Synthetic nanoparticles are emerging as versatile tools in biomedical applications, particularly in the area of biomedical imaging. Nanoparticles 1 to 100 nm in diameter possess dimensions comparable to biological functional units. Diverse surface chemistries, unique magnetic properties, tunable absorption and emission properties, and recent advances in the synthesis and engineering of various nanoparticles suggest their potential as probes for early detection of diseases such as cancer. Surface functionalization has further expanded the potential of nanoparticles as probes for molecular imaging. Objective: To summarize emerging research of nanoparticles for biomedical imaging with increased selectivity and reduced non-specific uptake with increasedmore » spatial resolution containing stabilizers conjugated with targeting ligands. Methods: This review summarizes recent technological advances in the synthesis of various nanoparticle probes, and surveys methods to improve the targeting of nanoparticles for their applications in biomedical imaging. Conclusion: Structural design of nanomaterials for biomedical imaging continues to expand and diversify. Synthetic methods have aimed to control the size and surface characteristics of nanoparticles to control distribution, half-life and elimination. Although molecular imaging applications using nanoparticles are advancing into clinical applications, challenges such as storage stability and long-term toxicology should continue to be addressed. Keywords: nanoparticle synthesis, surface modification, targeting, molecular imaging, and biomedical imaging.« less

  16. National Programs | FNLCR Staging

    Cancer.gov

    The Frederick National Lab (FNL) is a shared national resource that offers access to a suite of advanced biomedical technologies, provides selected science and technology services, and maintains vast repositories of research materials available to bi

  17. Stress and morale of academic biomedical scientists.

    PubMed

    Holleman, Warren L; Cofta-Woerpel, Ludmila M; Gritz, Ellen R

    2015-05-01

    Extensive research has shown high rates of burnout among physicians, including those who work in academic health centers. Little is known, however, about stress, burnout, and morale of academic biomedical scientists. The authors interviewed department chairs at one U.S. institution and were told that morale has plummeted in the past five years. Chairs identified three major sources of stress: fear of not maintaining sufficient funding to keep their positions and sustain a career; frustration over the amount of time spent doing paperwork and administrative duties; and distrust due to an increasingly adversarial relationship with the executive leadership.In this Commentary, the authors explore whether declining morale and concerns about funding, bureaucracy, and faculty-administration conflict are part of a larger national pattern. The authors also suggest ways that the federal government, research sponsors, and academic institutions can address these concerns and thereby reduce stress and burnout, increase productivity, and improve overall morale of academic biomedical scientists.

  18. Multi-field query expansion is effective for biomedical dataset retrieval.

    PubMed

    Bouadjenek, Mohamed Reda; Verspoor, Karin

    2017-01-01

    In the context of the bioCADDIE challenge addressing information retrieval of biomedical datasets, we propose a method for retrieval of biomedical data sets with heterogenous schemas through query reformulation. In particular, the method proposed transforms the initial query into a multi-field query that is then enriched with terms that are likely to occur in the relevant datasets. We compare and evaluate two query expansion strategies, one based on the Rocchio method and another based on a biomedical lexicon. We then perform a comprehensive comparative evaluation of our method on the bioCADDIE dataset collection for biomedical retrieval. We demonstrate the effectiveness of our multi-field query method compared to two baselines, with MAP improved from 0.2171 and 0.2669 to 0.2996. We also show the benefits of query expansion, where the Rocchio expanstion method improves the MAP for our two baselines from 0.2171 and 0.2669 to 0.335. We show that the Rocchio query expansion method slightly outperforms the one based on the biomedical lexicon as a source of terms, with an improvement of roughly 3% for MAP. However, the query expansion method based on the biomedical lexicon is much less resource intensive since it does not require computation of any relevance feedback set or any initial execution of the query. Hence, in term of trade-off between efficiency, execution time and retrieval accuracy, we argue that the query expansion method based on the biomedical lexicon offers the best performance for a prototype biomedical data search engine intended to be used at a large scale. In the official bioCADDIE challenge results, although our approach is ranked seventh in terms of the infNDCG evaluation metric, it ranks second in term of P@10 and NDCG. Hence, the method proposed here provides overall good retrieval performance in relation to the approaches of other competitors. Consequently, the observations made in this paper should benefit the development of a Data Discovery

  19. Mining biomedical images towards valuable information retrieval in biomedical and life sciences.

    PubMed

    Ahmed, Zeeshan; Zeeshan, Saman; Dandekar, Thomas

    2016-01-01

    Biomedical images are helpful sources for the scientists and practitioners in drawing significant hypotheses, exemplifying approaches and describing experimental results in published biomedical literature. In last decades, there has been an enormous increase in the amount of heterogeneous biomedical image production and publication, which results in a need for bioimaging platforms for feature extraction and analysis of text and content in biomedical images to take advantage in implementing effective information retrieval systems. In this review, we summarize technologies related to data mining of figures. We describe and compare the potential of different approaches in terms of their developmental aspects, used methodologies, produced results, achieved accuracies and limitations. Our comparative conclusions include current challenges for bioimaging software with selective image mining, embedded text extraction and processing of complex natural language queries. © The Author(s) 2016. Published by Oxford University Press.

  20. DataMed - an open source discovery index for finding biomedical datasets.

    PubMed

    Chen, Xiaoling; Gururaj, Anupama E; Ozyurt, Burak; Liu, Ruiling; Soysal, Ergin; Cohen, Trevor; Tiryaki, Firat; Li, Yueling; Zong, Nansu; Jiang, Min; Rogith, Deevakar; Salimi, Mandana; Kim, Hyeon-Eui; Rocca-Serra, Philippe; Gonzalez-Beltran, Alejandra; Farcas, Claudiu; Johnson, Todd; Margolis, Ron; Alter, George; Sansone, Susanna-Assunta; Fore, Ian M; Ohno-Machado, Lucila; Grethe, Jeffrey S; Xu, Hua

    2018-01-13

    Finding relevant datasets is important for promoting data reuse in the biomedical domain, but it is challenging given the volume and complexity of biomedical data. Here we describe the development of an open source biomedical data discovery system called DataMed, with the goal of promoting the building of additional data indexes in the biomedical domain. DataMed, which can efficiently index and search diverse types of biomedical datasets across repositories, is developed through the National Institutes of Health-funded biomedical and healthCAre Data Discovery Index Ecosystem (bioCADDIE) consortium. It consists of 2 main components: (1) a data ingestion pipeline that collects and transforms original metadata information to a unified metadata model, called DatA Tag Suite (DATS), and (2) a search engine that finds relevant datasets based on user-entered queries. In addition to describing its architecture and techniques, we evaluated individual components within DataMed, including the accuracy of the ingestion pipeline, the prevalence of the DATS model across repositories, and the overall performance of the dataset retrieval engine. Our manual review shows that the ingestion pipeline could achieve an accuracy of 90% and core elements of DATS had varied frequency across repositories. On a manually curated benchmark dataset, the DataMed search engine achieved an inferred average precision of 0.2033 and a precision at 10 (P@10, the number of relevant results in the top 10 search results) of 0.6022, by implementing advanced natural language processing and terminology services. Currently, we have made the DataMed system publically available as an open source package for the biomedical community. © The Author 2018. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  1. Audacious goals for health and biomedical informatics in the new millennium.

    PubMed

    Greenes, R A; Lorenzi, N M

    1998-01-01

    The 1998 Scientific Symposium of the American College of Medical Informatics (ACMI) was devoted to developing visions for the future of health care and biomedicine and a strategic agenda for health and biomedical informatics in support of those visions. This symposium focus was prompted by the many major changes currently underway in health care delivery, education, and research, as well as in our health and biomedical enterprises, and by the constantly increasing role of information technology in both shaping and enabling these changes. The three audacious goals developed for 2008 are a virtual health care databank, a national health care knowledge base, and a personal clinical health record.

  2. Campus Computing 1993. The USC National Survey of Desktop Computing in Higher Education.

    ERIC Educational Resources Information Center

    Green, Kenneth C.; Eastman, Skip

    A national survey of desktop computing in higher education was conducted in spring and summer 1993 at over 2500 institutions. Data were responses from public and private research universities, public and private four-year colleges and community colleges. Respondents (N=1011) were individuals specifically responsible for the operation and future…

  3. SpecialNet. A National Computer-Based Communications Network.

    ERIC Educational Resources Information Center

    Morin, Alfred J.

    1986-01-01

    "SpecialNet," a computer-based communications network for educators at all administrative levels, has been established and is managed by National Systems Management, Inc. Users can send and receive electronic mail, share information on electronic bulletin boards, participate in electronic conferences, and send reports and other documents to each…

  4. Implantable biomedical devices on bioresorbable substrates

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Rogers, John A; Kim, Dae-Hyeong; Omenetto, Fiorenzo

    Provided herein are implantable biomedical devices, methods of administering implantable biomedical devices, methods of making implantable biomedical devices, and methods of using implantable biomedical devices to actuate a target tissue or sense a parameter associated with the target tissue in a biological environment. Each implantable biomedical device comprises a bioresorbable substrate, an electronic device having a plurality of inorganic semiconductor components supported by the bioresorbable substrate, and a barrier layer encapsulating at least a portion of the inorganic semiconductor components. Upon contact with a biological environment the bioresorbable substrate is at least partially resorbed, thereby establishing conformal contact between themore » implantable biomedical device and the target tissue in the biological environment.« less

  5. Cardiovascular system simulation in biomedical engineering education.

    NASA Technical Reports Server (NTRS)

    Rideout, V. C.

    1972-01-01

    Use of complex cardiovascular system models, in conjunction with a large hybrid computer, in biomedical engineering courses. A cardiovascular blood pressure-flow model, driving a compartment model for the study of dye transport, was set up on the computer for use as a laboratory exercise by students who did not have the computer experience or skill to be able to easily set up such a simulation involving some 27 differential equations running at 'real time' rate. The students were given detailed instructions regarding the model, and were then able to study effects such as those due to septal and valve defects upon the pressure, flow, and dye dilution curves. The success of this experiment in the use of involved models in engineering courses was such that it seems that this type of laboratory exercise might be considered for use in physiology courses as an adjunct to animal experiments.

  6. 75 FR 42102 - National Library of Medicine; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-20

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine....S.C. App), notice is hereby given of a meeting of the Biomedical Library and Informatics Review... constitute a clearly unwarranted invasion of personal privacy. Name of Committee: Biomedical Library and...

  7. 75 FR 80512 - National Library of Medicine; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-22

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine....S.C. App), notice is hereby given of a meeting of the Biomedical Library and Informatics Review... constitute a clearly unwarranted invasion of personal privacy. Name of Committee: Biomedical Library and...

  8. 76 FR 14037 - National Library of Medicine; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-15

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine....S.C. App), notice is hereby given of a meeting of the Biomedical Library and Informatics Review... constitute a clearly unwarranted invasion of personal privacy. Name of Committee: Biomedical Library and...

  9. A Recent Advance in the Automatic Indexing of the Biomedical Literature

    PubMed Central

    Névéol, Aurélie; Shooshan, Sonya E.; Humphrey, Susanne M.; Mork, James G.; Aronson, Alan R.

    2009-01-01

    The volume of biomedical literature has experienced explosive growth in recent years. This is reflected in the corresponding increase in the size of MEDLINE®, the largest bibliographic database of biomedical citations. Indexers at the U.S. National Library of Medicine (NLM) need efficient tools to help them accommodate the ensuing workload. After reviewing issues in the automatic assignment of Medical Subject Headings (MeSH® terms) to biomedical text, we focus more specifically on the new subheading attachment feature for NLM’s Medical Text Indexer (MTI). Natural Language Processing, statistical, and machine learning methods of producing automatic MeSH main heading/subheading pair recommendations were assessed independently and combined. The best combination achieves 48% precision and 30% recall. After validation by NLM indexers, a suitable combination of the methods presented in this paper was integrated into MTI as a subheading attachment feature producing MeSH indexing recommendations compliant with current state-of-the-art indexing practice. PMID:19166973

  10. A recent advance in the automatic indexing of the biomedical literature.

    PubMed

    Névéol, Aurélie; Shooshan, Sonya E; Humphrey, Susanne M; Mork, James G; Aronson, Alan R

    2009-10-01

    The volume of biomedical literature has experienced explosive growth in recent years. This is reflected in the corresponding increase in the size of MEDLINE, the largest bibliographic database of biomedical citations. Indexers at the US National Library of Medicine (NLM) need efficient tools to help them accommodate the ensuing workload. After reviewing issues in the automatic assignment of Medical Subject Headings (MeSH terms) to biomedical text, we focus more specifically on the new subheading attachment feature for NLM's Medical Text Indexer (MTI). Natural Language Processing, statistical, and machine learning methods of producing automatic MeSH main heading/subheading pair recommendations were assessed independently and combined. The best combination achieves 48% precision and 30% recall. After validation by NLM indexers, a suitable combination of the methods presented in this paper was integrated into MTI as a subheading attachment feature producing MeSH indexing recommendations compliant with current state-of-the-art indexing practice.

  11. Normalizing biomedical terms by minimizing ambiguity and variability

    PubMed Central

    Tsuruoka, Yoshimasa; McNaught, John; Ananiadou, Sophia

    2008-01-01

    Background One of the difficulties in mapping biomedical named entities, e.g. genes, proteins, chemicals and diseases, to their concept identifiers stems from the potential variability of the terms. Soft string matching is a possible solution to the problem, but its inherent heavy computational cost discourages its use when the dictionaries are large or when real time processing is required. A less computationally demanding approach is to normalize the terms by using heuristic rules, which enables us to look up a dictionary in a constant time regardless of its size. The development of good heuristic rules, however, requires extensive knowledge of the terminology in question and thus is the bottleneck of the normalization approach. Results We present a novel framework for discovering a list of normalization rules from a dictionary in a fully automated manner. The rules are discovered in such a way that they minimize the ambiguity and variability of the terms in the dictionary. We evaluated our algorithm using two large dictionaries: a human gene/protein name dictionary built from BioThesaurus and a disease name dictionary built from UMLS. Conclusions The experimental results showed that automatically discovered rules can perform comparably to carefully crafted heuristic rules in term mapping tasks, and the computational overhead of rule application is small enough that a very fast implementation is possible. This work will help improve the performance of term-concept mapping tasks in biomedical information extraction especially when good normalization heuristics for the target terminology are not fully known. PMID:18426547

  12. Semantic Similarity in Biomedical Ontologies

    PubMed Central

    Pesquita, Catia; Faria, Daniel; Falcão, André O.; Lord, Phillip; Couto, Francisco M.

    2009-01-01

    In recent years, ontologies have become a mainstream topic in biomedical research. When biological entities are described using a common schema, such as an ontology, they can be compared by means of their annotations. This type of comparison is called semantic similarity, since it assesses the degree of relatedness between two entities by the similarity in meaning of their annotations. The application of semantic similarity to biomedical ontologies is recent; nevertheless, several studies have been published in the last few years describing and evaluating diverse approaches. Semantic similarity has become a valuable tool for validating the results drawn from biomedical studies such as gene clustering, gene expression data analysis, prediction and validation of molecular interactions, and disease gene prioritization. We review semantic similarity measures applied to biomedical ontologies and propose their classification according to the strategies they employ: node-based versus edge-based and pairwise versus groupwise. We also present comparative assessment studies and discuss the implications of their results. We survey the existing implementations of semantic similarity measures, and we describe examples of applications to biomedical research. This will clarify how biomedical researchers can benefit from semantic similarity measures and help them choose the approach most suitable for their studies. Biomedical ontologies are evolving toward increased coverage, formality, and integration, and their use for annotation is increasingly becoming a focus of both effort by biomedical experts and application of automated annotation procedures to create corpora of higher quality and completeness than are currently available. Given that semantic similarity measures are directly dependent on these evolutions, we can expect to see them gaining more relevance and even becoming as essential as sequence similarity is today in biomedical research. PMID:19649320

  13. Knowledge of the Nigerian Code of Health Research Ethics Among Biomedical Researchers in Southern Nigeria.

    PubMed

    Ogunrin, Olubunmi A; Daniel, Folasade; Ansa, Victor

    2016-12-01

    Responsibility for protection of research participants from harm and exploitation rests on Research Ethics Committees and principal investigators. The Nigerian National Code of Health Research Ethics defines responsibilities of stakeholders in research so its knowledge among researchers will likely aid ethical conduct of research. The levels of awareness and knowledge of the Code among biomedical researchers in southern Nigerian research institutions was assessed. Four institutions were selected using a stratified random sampling technique. Research participants were selected by purposive sampling and completed a pre-tested structured questionnaire. A total of 102 biomedical researchers completed the questionnaires. Thirty percent of the participants were aware of the National Code though 64% had attended at least one training seminar in research ethics. Twenty-five percent had a fairly acceptable knowledge (scores 50%-74%) and 10% had excellent knowledge of the code (score ≥75%). Ninety-five percent expressed intentions to learn more about the National Code and agreed that it is highly relevant to the ethical conduct of research. Awareness and knowledge of the Code were found to be very limited among biomedical researchers in southern Nigeria. There is need to improve awareness and knowledge through ethics seminars and training. Use of existing Nigeria-specific online training resources is also encouraged.

  14. Text mining patents for biomedical knowledge.

    PubMed

    Rodriguez-Esteban, Raul; Bundschus, Markus

    2016-06-01

    Biomedical text mining of scientific knowledge bases, such as Medline, has received much attention in recent years. Given that text mining is able to automatically extract biomedical facts that revolve around entities such as genes, proteins, and drugs, from unstructured text sources, it is seen as a major enabler to foster biomedical research and drug discovery. In contrast to the biomedical literature, research into the mining of biomedical patents has not reached the same level of maturity. Here, we review existing work and highlight the associated technical challenges that emerge from automatically extracting facts from patents. We conclude by outlining potential future directions in this domain that could help drive biomedical research and drug discovery. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. BioSig: The Free and Open Source Software Library for Biomedical Signal Processing

    PubMed Central

    Vidaurre, Carmen; Sander, Tilmann H.; Schlögl, Alois

    2011-01-01

    BioSig is an open source software library for biomedical signal processing. The aim of the BioSig project is to foster research in biomedical signal processing by providing free and open source software tools for many different application areas. Some of the areas where BioSig can be employed are neuroinformatics, brain-computer interfaces, neurophysiology, psychology, cardiovascular systems, and sleep research. Moreover, the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), or respiration signals is a very relevant element of the BioSig project. Specifically, BioSig provides solutions for data acquisition, artifact processing, quality control, feature extraction, classification, modeling, and data visualization, to name a few. In this paper, we highlight several methods to help students and researchers to work more efficiently with biomedical signals. PMID:21437227

  16. BioSig: the free and open source software library for biomedical signal processing.

    PubMed

    Vidaurre, Carmen; Sander, Tilmann H; Schlögl, Alois

    2011-01-01

    BioSig is an open source software library for biomedical signal processing. The aim of the BioSig project is to foster research in biomedical signal processing by providing free and open source software tools for many different application areas. Some of the areas where BioSig can be employed are neuroinformatics, brain-computer interfaces, neurophysiology, psychology, cardiovascular systems, and sleep research. Moreover, the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), or respiration signals is a very relevant element of the BioSig project. Specifically, BioSig provides solutions for data acquisition, artifact processing, quality control, feature extraction, classification, modeling, and data visualization, to name a few. In this paper, we highlight several methods to help students and researchers to work more efficiently with biomedical signals.

  17. Collaborative mining and interpretation of large-scale data for biomedical research insights.

    PubMed

    Tsiliki, Georgia; Karacapilidis, Nikos; Christodoulou, Spyros; Tzagarakis, Manolis

    2014-01-01

    Biomedical research becomes increasingly interdisciplinary and collaborative in nature. Researchers need to efficiently and effectively collaborate and make decisions by meaningfully assembling, mining and analyzing available large-scale volumes of complex multi-faceted data residing in different sources. In line with related research directives revealing that, in spite of the recent advances in data mining and computational analysis, humans can easily detect patterns which computer algorithms may have difficulty in finding, this paper reports on the practical use of an innovative web-based collaboration support platform in a biomedical research context. Arguing that dealing with data-intensive and cognitively complex settings is not a technical problem alone, the proposed platform adopts a hybrid approach that builds on the synergy between machine and human intelligence to facilitate the underlying sense-making and decision making processes. User experience shows that the platform enables more informed and quicker decisions, by displaying the aggregated information according to their needs, while also exploiting the associated human intelligence.

  18. Collaborative Mining and Interpretation of Large-Scale Data for Biomedical Research Insights

    PubMed Central

    Tsiliki, Georgia; Karacapilidis, Nikos; Christodoulou, Spyros; Tzagarakis, Manolis

    2014-01-01

    Biomedical research becomes increasingly interdisciplinary and collaborative in nature. Researchers need to efficiently and effectively collaborate and make decisions by meaningfully assembling, mining and analyzing available large-scale volumes of complex multi-faceted data residing in different sources. In line with related research directives revealing that, in spite of the recent advances in data mining and computational analysis, humans can easily detect patterns which computer algorithms may have difficulty in finding, this paper reports on the practical use of an innovative web-based collaboration support platform in a biomedical research context. Arguing that dealing with data-intensive and cognitively complex settings is not a technical problem alone, the proposed platform adopts a hybrid approach that builds on the synergy between machine and human intelligence to facilitate the underlying sense-making and decision making processes. User experience shows that the platform enables more informed and quicker decisions, by displaying the aggregated information according to their needs, while also exploiting the associated human intelligence. PMID:25268270

  19. Chapter 1: Biomedical knowledge integration.

    PubMed

    Payne, Philip R O

    2012-01-01

    The modern biomedical research and healthcare delivery domains have seen an unparalleled increase in the rate of innovation and novel technologies over the past several decades. Catalyzed by paradigm-shifting public and private programs focusing upon the formation and delivery of genomic and personalized medicine, the need for high-throughput and integrative approaches to the collection, management, and analysis of heterogeneous data sets has become imperative. This need is particularly pressing in the translational bioinformatics domain, where many fundamental research questions require the integration of large scale, multi-dimensional clinical phenotype and bio-molecular data sets. Modern biomedical informatics theory and practice has demonstrated the distinct benefits associated with the use of knowledge-based systems in such contexts. A knowledge-based system can be defined as an intelligent agent that employs a computationally tractable knowledge base or repository in order to reason upon data in a targeted domain and reproduce expert performance relative to such reasoning operations. The ultimate goal of the design and use of such agents is to increase the reproducibility, scalability, and accessibility of complex reasoning tasks. Examples of the application of knowledge-based systems in biomedicine span a broad spectrum, from the execution of clinical decision support, to epidemiologic surveillance of public data sets for the purposes of detecting emerging infectious diseases, to the discovery of novel hypotheses in large-scale research data sets. In this chapter, we will review the basic theoretical frameworks that define core knowledge types and reasoning operations with particular emphasis on the applicability of such conceptual models within the biomedical domain, and then go on to introduce a number of prototypical data integration requirements and patterns relevant to the conduct of translational bioinformatics that can be addressed via the design and

  20. Chapter 1: Biomedical Knowledge Integration

    PubMed Central

    Payne, Philip R. O.

    2012-01-01

    The modern biomedical research and healthcare delivery domains have seen an unparalleled increase in the rate of innovation and novel technologies over the past several decades. Catalyzed by paradigm-shifting public and private programs focusing upon the formation and delivery of genomic and personalized medicine, the need for high-throughput and integrative approaches to the collection, management, and analysis of heterogeneous data sets has become imperative. This need is particularly pressing in the translational bioinformatics domain, where many fundamental research questions require the integration of large scale, multi-dimensional clinical phenotype and bio-molecular data sets. Modern biomedical informatics theory and practice has demonstrated the distinct benefits associated with the use of knowledge-based systems in such contexts. A knowledge-based system can be defined as an intelligent agent that employs a computationally tractable knowledge base or repository in order to reason upon data in a targeted domain and reproduce expert performance relative to such reasoning operations. The ultimate goal of the design and use of such agents is to increase the reproducibility, scalability, and accessibility of complex reasoning tasks. Examples of the application of knowledge-based systems in biomedicine span a broad spectrum, from the execution of clinical decision support, to epidemiologic surveillance of public data sets for the purposes of detecting emerging infectious diseases, to the discovery of novel hypotheses in large-scale research data sets. In this chapter, we will review the basic theoretical frameworks that define core knowledge types and reasoning operations with particular emphasis on the applicability of such conceptual models within the biomedical domain, and then go on to introduce a number of prototypical data integration requirements and patterns relevant to the conduct of translational bioinformatics that can be addressed via the design and

  1. Biomedical Biopolymers, their Origin and Evolution in Biomedical Sciences: A Systematic Review

    PubMed Central

    Yadav, Harsh; Shah, Veena Gowri; Shah, Gaurav; Dhaka, Gaurav

    2015-01-01

    Biopolymers provide a plethora of applications in the pharmaceutical and medical applications. A material that can be used for biomedical applications like wound healing, drug delivery and tissue engineering should possess certain properties like biocompatibility, biodegradation to non-toxic products, low antigenicity, high bio-activity, processability to complicated shapes with appropriate porosity, ability to support cell growth and proliferation and appropriate mechanical properties, as well as maintaining mechanical strength. This paper reviews biodegradable biopolymers focusing on their potential in biomedical applications. Biopolymers most commonly used and most abundantly available have been described with focus on the properties relevant to biomedical importance. PMID:26501034

  2. About the Frederick National Laboratory for Cancer Research | Frederick National Laboratory for Cancer Research

    Cancer.gov

    The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and currently operated by Leidos Biomedical Research, Inc. The laboratory addresses some of the most urge

  3. Proceedings from the conference on high speed computing: High speed computing and national security

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Hirons, K.P.; Vigil, M.; Carlson, R.

    1997-07-01

    This meeting covered the following topics: technologies/national needs/policies: past, present and future; information warfare; crisis management/massive data systems; risk assessment/vulnerabilities; Internet law/privacy and rights of society; challenges to effective ASCI programmatic use of 100 TFLOPs systems; and new computing technologies.

  4. The pipeline still leaks and more than you think: a status report on gender diversity in biomedical engineering.

    PubMed

    Chesler, Naomi C; Barabino, Gilda; Bhatia, Sangeeta N; Richards-Kortum, Rebecca

    2010-05-01

    While the percentage of women in biomedical engineering is higher than in many other technical fields, it is far from being in proportion to the US population. The decrease in the proportion of women and underrepresented minorities in biomedical engineering from the bachelors to the masters to the doctoral levels is evidence of a still leaky pipeline in our discipline. In addition, the percentage of women faculty members at the assistant, associate and full professor levels remain disappointingly low even after years of improved recruitment of women into biomedical engineering at the undergraduate level. Worse, the percentage of women graduating with undergraduate degrees in biomedical engineering has been decreasing nationwide for the most recent three year span for which national data are available. Increasing diversity in biomedical engineering is predicted to have significant research and educational benefits. The barriers to women's success in biomedical engineering and strategies for overcoming these obstacles-and fixing the leaks in the pipeline-are reviewed.

  5. Financial anatomy of biomedical research.

    PubMed

    Moses, Hamilton; Dorsey, E Ray; Matheson, David H M; Thier, Samuel O

    2005-09-21

    Public and private financial support of biomedical research have increased over the past decade. Few comprehensive analyses of the sources and uses of funds are available. This results in inadequate information on which to base investment decisions because not all sources allow equal latitude to explore hypotheses having scientific or clinical importance and creates a barrier to judging the value of research to society. To quantify funding trends from 1994 to 2004 of basic, translational, and clinical biomedical research by principal sponsors based in the United States. Publicly available data were compiled for the federal, state, and local governments; foundations; charities; universities; and industry. Proprietary (by subscription but openly available) databases were used to supplement public sources. Total actual research spending, growth rates, and type of research with inflation adjustment. Biomedical research funding increased from 37.1 billion dollars in 1994 to 94.3 billion dollars in 2003 and doubled when adjusted for inflation. Principal research sponsors in 2003 were industry (57%) and the National Institutes of Health (28%). Relative proportions from all public and private sources did not change. Industry sponsorship of clinical trials increased from 4.0 dollars to 14.2 billion dollars (in real terms) while federal proportions devoted to basic and applied research were unchanged. The United States spent an estimated 5.6% of its total health expenditures on biomedical research, more than any other country, but less than 0.1% for health services research. From an economic perspective, biotechnology and medical device companies were most productive, as measured by new diagnostic and therapeutic devices per dollar of research and development cost. Productivity declined for new pharmaceuticals. Enhancing research productivity and evaluation of benefit are pressing challenges, requiring (1) more effective translation of basic scientific knowledge to clinical

  6. Biomedical informatics and translational medicine.

    PubMed

    Sarkar, Indra Neil

    2010-02-26

    Biomedical informatics involves a core set of methodologies that can provide a foundation for crossing the "translational barriers" associated with translational medicine. To this end, the fundamental aspects of biomedical informatics (e.g., bioinformatics, imaging informatics, clinical informatics, and public health informatics) may be essential in helping improve the ability to bring basic research findings to the bedside, evaluate the efficacy of interventions across communities, and enable the assessment of the eventual impact of translational medicine innovations on health policies. Here, a brief description is provided for a selection of key biomedical informatics topics (Decision Support, Natural Language Processing, Standards, Information Retrieval, and Electronic Health Records) and their relevance to translational medicine. Based on contributions and advancements in each of these topic areas, the article proposes that biomedical informatics practitioners ("biomedical informaticians") can be essential members of translational medicine teams.

  7. Formal ontologies in biomedical knowledge representation.

    PubMed

    Schulz, S; Jansen, L

    2013-01-01

    Medical decision support and other intelligent applications in the life sciences depend on increasing amounts of digital information. Knowledge bases as well as formal ontologies are being used to organize biomedical knowledge and data. However, these two kinds of artefacts are not always clearly distinguished. Whereas the popular RDF(S) standard provides an intuitive triple-based representation, it is semantically weak. Description logics based ontology languages like OWL-DL carry a clear-cut semantics, but they are computationally expensive, and they are often misinterpreted to encode all kinds of statements, including those which are not ontological. We distinguish four kinds of statements needed to comprehensively represent domain knowledge: universal statements, terminological statements, statements about particulars and contingent statements. We argue that the task of formal ontologies is solely to represent universal statements, while the non-ontological kinds of statements can nevertheless be connected with ontological representations. To illustrate these four types of representations, we use a running example from parasitology. We finally formulate recommendations for semantically adequate ontologies that can efficiently be used as a stable framework for more context-dependent biomedical knowledge representation and reasoning applications like clinical decision support systems.

  8. Branding the bio/biomedical engineering degree.

    PubMed

    Voigt, Herbert F

    2011-01-01

    The future challenges to medical and biological engineering, sometimes referred to as biomedical engineering or simply bioengineering, are many. Some of these are identifiable now and others will emerge from time to time as new technologies are introduced and harnessed. There is a fundamental issue regarding "Branding the bio/biomedical engineering degree" that requires a common understanding of what is meant by a B.S. degree in Biomedical Engineering, Bioengineering, or Biological Engineering. In this paper we address some of the issues involved in branding the Bio/Biomedical Engineering degree, with the aim of clarifying the Bio/Biomedical Engineering brand.

  9. Biomedical research

    NASA Technical Reports Server (NTRS)

    1981-01-01

    Biomedical problems encountered by man in space which have been identified as a result of previous experience in simulated or actual spaceflight include cardiovascular deconditioning, motion sickness, bone loss, muscle atrophy, red cell alterations, fluid and electrolyte loss, radiation effects, radiation protection, behavior, and performance. The investigations and the findings in each of these areas were reviewed. A description of how biomedical research is organized within NASA, how it is funded, and how it is being reoriented to meet the needs of future manned space missions is also provided.

  10. The Center for Computational Biology: resources, achievements, and challenges

    PubMed Central

    Dinov, Ivo D; Thompson, Paul M; Woods, Roger P; Van Horn, John D; Shattuck, David W; Parker, D Stott

    2011-01-01

    The Center for Computational Biology (CCB) is a multidisciplinary program where biomedical scientists, engineers, and clinicians work jointly to combine modern mathematical and computational techniques, to perform phenotypic and genotypic studies of biological structure, function, and physiology in health and disease. CCB has developed a computational framework built around the Manifold Atlas, an integrated biomedical computing environment that enables statistical inference on biological manifolds. These manifolds model biological structures, features, shapes, and flows, and support sophisticated morphometric and statistical analyses. The Manifold Atlas includes tools, workflows, and services for multimodal population-based modeling and analysis of biological manifolds. The broad spectrum of biomedical topics explored by CCB investigators include the study of normal and pathological brain development, maturation and aging, discovery of associations between neuroimaging and genetic biomarkers, and the modeling, analysis, and visualization of biological shape, form, and size. CCB supports a wide range of short-term and long-term collaborations with outside investigators, which drive the center's computational developments and focus the validation and dissemination of CCB resources to new areas and scientific domains. PMID:22081221

  11. The Center for Computational Biology: resources, achievements, and challenges.

    PubMed

    Toga, Arthur W; Dinov, Ivo D; Thompson, Paul M; Woods, Roger P; Van Horn, John D; Shattuck, David W; Parker, D Stott

    2012-01-01

    The Center for Computational Biology (CCB) is a multidisciplinary program where biomedical scientists, engineers, and clinicians work jointly to combine modern mathematical and computational techniques, to perform phenotypic and genotypic studies of biological structure, function, and physiology in health and disease. CCB has developed a computational framework built around the Manifold Atlas, an integrated biomedical computing environment that enables statistical inference on biological manifolds. These manifolds model biological structures, features, shapes, and flows, and support sophisticated morphometric and statistical analyses. The Manifold Atlas includes tools, workflows, and services for multimodal population-based modeling and analysis of biological manifolds. The broad spectrum of biomedical topics explored by CCB investigators include the study of normal and pathological brain development, maturation and aging, discovery of associations between neuroimaging and genetic biomarkers, and the modeling, analysis, and visualization of biological shape, form, and size. CCB supports a wide range of short-term and long-term collaborations with outside investigators, which drive the center's computational developments and focus the validation and dissemination of CCB resources to new areas and scientific domains.

  12. National resource for computation in chemistry, phase I: evaluation and recommendations

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Not Available

    1980-05-01

    The National Resource for Computation in Chemistry (NRCC) was inaugurated at the Lawrence Berkeley Laboratory (LBL) in October 1977, with joint funding by the Department of Energy (DOE) and the National Science Foundation (NSF). The chief activities of the NRCC include: assembling a staff of eight postdoctoral computational chemists, establishing an office complex at LBL, purchasing a midi-computer and graphics display system, administering grants of computer time, conducting nine workshops in selected areas of computational chemistry, compiling a library of computer programs with adaptations and improvements, initiating a software distribution system, providing user assistance and consultation on request. This reportmore » presents assessments and recommendations of an Ad Hoc Review Committee appointed by the DOE and NSF in January 1980. The recommendations are that NRCC should: (1) not fund grants for computing time or research but leave that to the relevant agencies, (2) continue the Workshop Program in a mode similar to Phase I, (3) abandon in-house program development and establish instead a competitive external postdoctoral program in chemistry software development administered by the Policy Board and Director, and (4) not attempt a software distribution system (leaving that function to the QCPE). Furthermore, (5) DOE should continue to make its computational facilities available to outside users (at normal cost rates) and should find some way to allow the chemical community to gain occasional access to a CRAY-level computer.« less

  13. Documentary of MFENET, a national computer network

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Shuttleworth, B.O.

    1977-06-01

    The national Magnetic Fusion Energy Computer Network (MFENET) is a newly operational star network of geographically separated heterogeneous hosts and a communications subnetwork of PDP-11 processors. Host processors interfaced to the subnetwork currently include a CDC 7600 at the Central Computer Center (CCC) and several DECsystem-10's at User Service Centers (USC's). The network was funded by a U.S. government agency (ERDA) to provide in an economical manner the needed computational resources to magnetic confinement fusion researchers. Phase I operation of MFENET distributed the processing power of the CDC 7600 among the USC's through the provision of file transport between anymore » two hosts and remote job entry to the 7600. Extending the capabilities of Phase I, MFENET Phase II provided interactive terminal access to the CDC 7600 from the USC's. A file management system is maintained at the CCC for all network users. The history and development of MFENET are discussed, with emphasis on the protocols used to link the host computers and the USC software. Comparisons are made of MFENET versus ARPANET (Advanced Research Projects Agency Computer Network) and DECNET (Digital Distributed Network Architecture). DECNET and MFENET host-to host, host-to-CCP, and link protocols are discussed in detail. The USC--CCP interface is described briefly. 43 figures, 2 tables.« less

  14. Pathophysiologic mechanisms of biomedical nanomaterials

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Wang, Liming, E-mail: wangliming@ihep.ac.cn; Chen, Chunying, E-mail: chenchy@nanoctr.cn

    Nanomaterials (NMs) have been widespread used in biomedical fields, daily consuming, and even food industry. It is crucial to understand the safety and biomedical efficacy of NMs. In this review, we summarized the recent progress about the physiological and pathological effects of NMs from several levels: protein-nano interface, NM-subcellular structures, and cell–cell interaction. We focused on the detailed information of nano-bio interaction, especially about protein adsorption, intracellular trafficking, biological barriers, and signaling pathways as well as the associated mechanism mediated by nanomaterials. We also introduced related analytical methods that are meaningful and helpful for biomedical effect studies in the future.more » We believe that knowledge about pathophysiologic effects of NMs is not only significant for rational design of medical NMs but also helps predict their safety and further improve their applications in the future. - Highlights: • Rapid protein adsorption onto nanomaterials that affects biomedical effects • Nanomaterials and their interaction with biological membrane, intracellular trafficking and specific cellular effects • Nanomaterials and their interaction with biological barriers • The signaling pathways mediated by nanomaterials and related biomedical effects • Novel techniques for studying translocation and biomedical effects of NMs.« less

  15. A fast discrete S-transform for biomedical signal processing.

    PubMed

    Brown, Robert A; Frayne, Richard

    2008-01-01

    Determining the frequency content of a signal is a basic operation in signal and image processing. The S-transform provides both the true frequency and globally referenced phase measurements characteristic of the Fourier transform and also generates local spectra, as does the wavelet transform. Due to this combination, the S-transform has been successfully demonstrated in a variety of biomedical signal and image processing tasks. However, the computational demands of the S-transform have limited its application in medicine to this point in time. This abstract introduces the fast S-transform, a more efficient discrete implementation of the classic S-transform with dramatically reduced computational requirements.

  16. Disambiguating ambiguous biomedical terms in biomedical narrative text: an unsupervised method.

    PubMed

    Liu, H; Lussier, Y A; Friedman, C

    2001-08-01

    With the growing use of Natural Language Processing (NLP) techniques for information extraction and concept indexing in the biomedical domain, a method that quickly and efficiently assigns the correct sense of an ambiguous biomedical term in a given context is needed concurrently. The current status of word sense disambiguation (WSD) in the biomedical domain is that handcrafted rules are used based on contextual material. The disadvantages of this approach are (i) generating WSD rules manually is a time-consuming and tedious task, (ii) maintenance of rule sets becomes increasingly difficult over time, and (iii) handcrafted rules are often incomplete and perform poorly in new domains comprised of specialized vocabularies and different genres of text. This paper presents a two-phase unsupervised method to build a WSD classifier for an ambiguous biomedical term W. The first phase automatically creates a sense-tagged corpus for W, and the second phase derives a classifier for W using the derived sense-tagged corpus as a training set. A formative experiment was performed, which demonstrated that classifiers trained on the derived sense-tagged corpora achieved an overall accuracy of about 97%, with greater than 90% accuracy for each individual ambiguous term.

  17. Computer integration of engineering design and production: A national opportunity

    NASA Astrophysics Data System (ADS)

    1984-10-01

    The National Aeronautics and Space Administration (NASA), as a purchaser of a variety of manufactured products, including complex space vehicles and systems, clearly has a stake in the advantages of computer-integrated manufacturing (CIM). Two major NASA objectives are to launch a Manned Space Station by 1992 with a budget of $8 billion, and to be a leader in the development and application of productivity-enhancing technology. At the request of NASA, a National Research Council committee visited five companies that have been leaders in using CIM. Based on these case studies, technical, organizational, and financial issues that influence computer integration are described, guidelines for its implementation in industry are offered, and the use of CIM to manage the space station program is recommended.

  18. Computer integration of engineering design and production: A national opportunity

    NASA Technical Reports Server (NTRS)

    1984-01-01

    The National Aeronautics and Space Administration (NASA), as a purchaser of a variety of manufactured products, including complex space vehicles and systems, clearly has a stake in the advantages of computer-integrated manufacturing (CIM). Two major NASA objectives are to launch a Manned Space Station by 1992 with a budget of $8 billion, and to be a leader in the development and application of productivity-enhancing technology. At the request of NASA, a National Research Council committee visited five companies that have been leaders in using CIM. Based on these case studies, technical, organizational, and financial issues that influence computer integration are described, guidelines for its implementation in industry are offered, and the use of CIM to manage the space station program is recommended.

  19. The community FabLab platform: applications and implications in biomedical engineering.

    PubMed

    Stephenson, Makeda K; Dow, Douglas E

    2014-01-01

    Skill development in science, technology, engineering and math (STEM) education present one of the most formidable challenges of modern society. The Community FabLab platform presents a viable solution. Each FabLab contains a suite of modern computer numerical control (CNC) equipment, electronics and computing hardware and design, programming, computer aided design (CAD) and computer aided machining (CAM) software. FabLabs are community and educational resources and open to the public. Development of STEM based workforce skills such as digital fabrication and advanced manufacturing can be enhanced using this platform. Particularly notable is the potential of the FabLab platform in STEM education. The active learning environment engages and supports a diversity of learners, while the iterative learning that is supported by the FabLab rapid prototyping platform facilitates depth of understanding, creativity, innovation and mastery. The product and project based learning that occurs in FabLabs develops in the student a personal sense of accomplishment, self-awareness, command of the material and technology. This helps build the interest and confidence necessary to excel in STEM and throughout life. Finally the introduction and use of relevant technologies at every stage of the education process ensures technical familiarity and a broad knowledge base needed for work in STEM based fields. Biomedical engineering education strives to cultivate broad technical adeptness, creativity, interdisciplinary thought, and an ability to form deep conceptual understanding of complex systems. The FabLab platform is well designed to enhance biomedical engineering education.

  20. Implantable Biomedical Microsystems: A New Graduate Course in Biomedical Circuits and Systems

    ERIC Educational Resources Information Center

    Sodagar, Amir M.

    2014-01-01

    After more than two decades of research on the design and development of implantable biomedical microsystems, it is time now to organize research achievements in this area in a consolidated and pedagogical form. This paper introduces a new graduate course in advanced biomedical circuits and systems. Designed for graduate students with electrical…

  1. NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation.

    PubMed

    Martínez-Romero, Marcos; Jonquet, Clement; O'Connor, Martin J; Graybeal, John; Pazos, Alejandro; Musen, Mark A

    2017-06-07

    Ontologies and controlled terminologies have become increasingly important in biomedical research. Researchers use ontologies to annotate their data with ontology terms, enabling better data integration and interoperability across disparate datasets. However, the number, variety and complexity of current biomedical ontologies make it cumbersome for researchers to determine which ones to reuse for their specific needs. To overcome this problem, in 2010 the National Center for Biomedical Ontology (NCBO) released the Ontology Recommender, which is a service that receives a biomedical text corpus or a list of keywords and suggests ontologies appropriate for referencing the indicated terms. We developed a new version of the NCBO Ontology Recommender. Called Ontology Recommender 2.0, it uses a novel recommendation approach that evaluates the relevance of an ontology to biomedical text data according to four different criteria: (1) the extent to which the ontology covers the input data; (2) the acceptance of the ontology in the biomedical community; (3) the level of detail of the ontology classes that cover the input data; and (4) the specialization of the ontology to the domain of the input data. Our evaluation shows that the enhanced recommender provides higher quality suggestions than the original approach, providing better coverage of the input data, more detailed information about their concepts, increased specialization for the domain of the input data, and greater acceptance and use in the community. In addition, it provides users with more explanatory information, along with suggestions of not only individual ontologies but also groups of ontologies to use together. It also can be customized to fit the needs of different ontology recommendation scenarios. Ontology Recommender 2.0 suggests relevant ontologies for annotating biomedical text data. It combines the strengths of its predecessor with a range of adjustments and new features that improve its reliability

  2. Evaluation of research in biomedical ontologies

    PubMed Central

    Dumontier, Michel; Gkoutos, Georgios V.

    2013-01-01

    Ontologies are now pervasive in biomedicine, where they serve as a means to standardize terminology, to enable access to domain knowledge, to verify data consistency and to facilitate integrative analyses over heterogeneous biomedical data. For this purpose, research on biomedical ontologies applies theories and methods from diverse disciplines such as information management, knowledge representation, cognitive science, linguistics and philosophy. Depending on the desired applications in which ontologies are being applied, the evaluation of research in biomedical ontologies must follow different strategies. Here, we provide a classification of research problems in which ontologies are being applied, focusing on the use of ontologies in basic and translational research, and we demonstrate how research results in biomedical ontologies can be evaluated. The evaluation strategies depend on the desired application and measure the success of using an ontology for a particular biomedical problem. For many applications, the success can be quantified, thereby facilitating the objective evaluation and comparison of research in biomedical ontology. The objective, quantifiable comparison of research results based on scientific applications opens up the possibility for systematically improving the utility of ontologies in biomedical research. PMID:22962340

  3. Project Alexander the Great: a study on the world proliferation of bioengineering/biomedical engineering education.

    PubMed

    Abu-Faraj, Ziad O

    2008-01-01

    Bioengineering/Biomedical Engineering is considered amongst the most reputable fields within the global arena, and will likely be the primer for any future breakthroughs in Medicine and Biology. Bioengineering/biomedical engineering education has evolved since late 1950s and is undergoing advancement in leading academic institutions worldwide. This paper delineates an original study on the world proliferation of bioengineering/biomedical engineering education and bears the name 'Project Alexander the Great'. The initial step of the project was to survey all 10448 universities, recognized by the International Association of Universities, spread among the 193 member states of the United Nations within the six continents. The project aims at identifying, disseminating, and networking, through the world-wide-web, those institutions of higher learning that provide bioengineering/biomedical engineering education. The significance of this project is multifold: i) the inception of a web-based 'world-map' in bioengineering/biomedical engineering education for the potential international student desiring to pursue a career in this field; ii) the global networking of bioengineering/biomedical engineering academic/research programs; iii) the promotion of first-class bioengineering/biomedical engineering education and the catalysis of global proliferation of this field; iv) the erection of bridges among educational institutions, industry, and professional societies or organizations involved in Bioengineering/Biomedical Engineering; and v) the catalysis in the establishment of framework agreements for cooperation among the identified institutions offering curricula in this field. This paper presents the results obtained from Africa and North America. The whole project is due to be completed by 2009.

  4. BIOMedical Search Engine Framework: Lightweight and customized implementation of domain-specific biomedical search engines.

    PubMed

    Jácome, Alberto G; Fdez-Riverola, Florentino; Lourenço, Anália

    2016-07-01

    Text mining and semantic analysis approaches can be applied to the construction of biomedical domain-specific search engines and provide an attractive alternative to create personalized and enhanced search experiences. Therefore, this work introduces the new open-source BIOMedical Search Engine Framework for the fast and lightweight development of domain-specific search engines. The rationale behind this framework is to incorporate core features typically available in search engine frameworks with flexible and extensible technologies to retrieve biomedical documents, annotate meaningful domain concepts, and develop highly customized Web search interfaces. The BIOMedical Search Engine Framework integrates taggers for major biomedical concepts, such as diseases, drugs, genes, proteins, compounds and organisms, and enables the use of domain-specific controlled vocabulary. Technologies from the Typesafe Reactive Platform, the AngularJS JavaScript framework and the Bootstrap HTML/CSS framework support the customization of the domain-oriented search application. Moreover, the RESTful API of the BIOMedical Search Engine Framework allows the integration of the search engine into existing systems or a complete web interface personalization. The construction of the Smart Drug Search is described as proof-of-concept of the BIOMedical Search Engine Framework. This public search engine catalogs scientific literature about antimicrobial resistance, microbial virulence and topics alike. The keyword-based queries of the users are transformed into concepts and search results are presented and ranked accordingly. The semantic graph view portraits all the concepts found in the results, and the researcher may look into the relevance of different concepts, the strength of direct relations, and non-trivial, indirect relations. The number of occurrences of the concept shows its importance to the query, and the frequency of concept co-occurrence is indicative of biological relations

  5. A Novel Multi-Class Ensemble Model for Classifying Imbalanced Biomedical Datasets

    NASA Astrophysics Data System (ADS)

    Bikku, Thulasi; Sambasiva Rao, N., Dr; Rao, Akepogu Ananda, Dr

    2017-08-01

    This paper mainly focuseson developing aHadoop based framework for feature selection and classification models to classify high dimensionality data in heterogeneous biomedical databases. Wide research has been performing in the fields of Machine learning, Big data and Data mining for identifying patterns. The main challenge is extracting useful features generated from diverse biological systems. The proposed model can be used for predicting diseases in various applications and identifying the features relevant to particular diseases. There is an exponential growth of biomedical repositories such as PubMed and Medline, an accurate predictive model is essential for knowledge discovery in Hadoop environment. Extracting key features from unstructured documents often lead to uncertain results due to outliers and missing values. In this paper, we proposed a two phase map-reduce framework with text preprocessor and classification model. In the first phase, mapper based preprocessing method was designed to eliminate irrelevant features, missing values and outliers from the biomedical data. In the second phase, a Map-Reduce based multi-class ensemble decision tree model was designed and implemented in the preprocessed mapper data to improve the true positive rate and computational time. The experimental results on the complex biomedical datasets show that the performance of our proposed Hadoop based multi-class ensemble model significantly outperforms state-of-the-art baselines.

  6. Lawrence Livermore National Laboratories Perspective on Code Development and High Performance Computing Resources in Support of the National HED/ICF Effort

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Clouse, C. J.; Edwards, M. J.; McCoy, M. G.

    2015-07-07

    Through its Advanced Scientific Computing (ASC) and Inertial Confinement Fusion (ICF) code development efforts, Lawrence Livermore National Laboratory (LLNL) provides a world leading numerical simulation capability for the National HED/ICF program in support of the Stockpile Stewardship Program (SSP). In addition the ASC effort provides high performance computing platform capabilities upon which these codes are run. LLNL remains committed to, and will work with, the national HED/ICF program community to help insure numerical simulation needs are met and to make those capabilities available, consistent with programmatic priorities and available resources.

  7. Biomedical ground lead system

    NASA Technical Reports Server (NTRS)

    1972-01-01

    The design and verification tests for the biomedical ground lead system of Apollo biomedical monitors are presented. Major efforts were made to provide a low impedance path to ground, reduce noise and artifact of ECG signals, and limit the current flowing in the ground electrode of the system.

  8. 76 FR 370 - National Center for Research Resources; Notice of Closed Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-01-04

    .... 93.306, Comparative Medicine; 93.333, Clinical Research; 93.371, Biomedical Technology; 93.389... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Center for Research... Biomedical and Behavioral Research Facilities. Date: March 1-3, 2011. Time: 8 a.m. to 5 p.m. Agenda: To...

  9. NFDRSPC: The National Fire-Danger Rating System on a Personal Computer

    Treesearch

    Bryan G. Donaldson; James T. Paul

    1990-01-01

    This user's guide is an introductory manual for using the 1988 version (Burgan 1988) of the National Fire-Danger Rating System on an IBM PC or compatible computer. NFDRSPC is a window-oriented, interactive computer program that processes observed and forecast weather with fuels data to produce NFDRS indices. Other program features include user-designed display...

  10. Trends in Biomedical Education.

    ERIC Educational Resources Information Center

    Peppas, Nicholas A.; Mallinson, Richard G.

    1982-01-01

    An analysis of trends in biomedical education within chemical education is presented. Data used for the analysis included: type/level of course, subjects taught, and textbook preferences. Results among others of the 1980 survey indicate that 28 out of 79 schools responding offer at least one course in biomedical engineering. (JN)

  11. Biomedical applications engineering tasks

    NASA Technical Reports Server (NTRS)

    Laenger, C. J., Sr.

    1976-01-01

    The engineering tasks performed in response to needs articulated by clinicians are described. Initial contacts were made with these clinician-technology requestors by the Southwest Research Institute NASA Biomedical Applications Team. The basic purpose of the program was to effectively transfer aerospace technology into functional hardware to solve real biomedical problems.

  12. Shaping science policy: what's happening to biomedical research in America.

    PubMed

    Culliton, B J

    1991-04-01

    There is, scientists proclaim, a crisis in biomedical research. The crisis lies in the fact that the community's expectations now exceed any reasonable capacity to fund its projects. Between the late 1960s and now, the community has felt threatened many times: by the government leaders' and the public's perceptions of what basic science can produce; by such government initiatives as the "war on cancer," which steered funding to politically chosen areas of research; by changes in funding postgraduate research training; and by successive "crises" over the way NIH research funds are apportioned. None of these crises has resulted in the predicted dire consequences for the community, and the current one will not either. The challenge for the biomedical research community is to set priorities and allocate money accordingly. Despite the nation's economic and social problems, funding for biomedical research remains very high--$8 billion for the NIH, for example--and the community cannot expect that doubling or even tripling the budget would fund all the good ideas produced by a greatly expanded body of researchers. New policies for allocating funds among individual investigators, institutions, and infrastructure need to be put in place.

  13. Resource for the Development of Biomedical Accelerator Mass Spectrometry (AMS)

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Tuerteltaub, K. W.; Bench, G.; Buchholz, B. A.

    The NIH Research Resource for Biomedical AMS was originally funded at Lawrence Livermore National Laboratory in 1999 to develop and apply the technology of accelerator mass spectrometry (AMS) in broad- based biomedical research. The Resource’s niche is to fill needs for ultra high sensitivity quantitation when isotope-labeled agents are used. The Research Resource’s Technology Research and Development (TR&D) efforts will focus on the needs of the biomedical research community in the context of seven Driving Biomedical Projects (DBPs) that will drive the Center’s technical capabilities through three core TR&Ds. We will expand our present capabilities by developing a fully integratedmore » HPLC AMS to increase our capabilities for metabolic measurements, we will develop methods to understand cellular processes and we will develop and validate methods for the application of AMS in human studies, which is a growing area of demand by collaborators and service users. In addition, we will continue to support new and ongoing collaborative and service projects that require the capabilities of the Resource. The Center will continue to train researchers in the use of the AMS capabilities being developed, and the results of all efforts will be widely disseminated to advance progress in biomedical research. Towards these goals, our specific aims are to:1.) Increase the value and information content of AMS measurements by combining molecular speciation with quantitation of defined macromolecular isolates. Specifically, develop and validate methods for macromolecule labeling, characterization and quantitation.2.) Develop and validate methods and strategies to enable AMS to become more broadly used in human studies. Specifically, demonstrate robust methods for conducting pharmacokinetic/pharmacodynamics studies in humans and model systems.3.) Increase the accessibility of AMS to the Biomedical research community and the throughput of AMS through direct coupling to

  14. Resource for the Development of Biomedical Accelerator Mass Spectrometry (AMS)

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Turteltaub, K. W.; Bench, G.; Buchholz, B. A.

    2016-04-08

    The NIH Research Resource for Biomedical AMS was originally funded at Lawrence Livermore National Laboratory in 1999 to develop and apply the technology of accelerator mass spectrometry (AMS) in broad- based biomedical research. The Resource’s niche is to fill needs for ultra high sensitivity quantitation when isotope-labeled agents are used. The Research Resource’s Technology Research and Development (TR&D) efforts will focus on the needs of the biomedical research community in the context of seven Driving Biomedical Projects (DBPs) that will drive the Center’s technical capabilities through three core TR&Ds. We will expand our present capabilities by developing a fully integratedmore » HPLC AMS to increase our capabilities for metabolic measurements, we will develop methods to understand cellular processes and we will develop and validate methods for the application of AMS in human studies, which is a growing area of demand by collaborators and service users. In addition, we will continue to support new and ongoing collaborative and service projects that require the capabilities of the Resource. The Center will continue to train researchers in the use of the AMS capabilities being developed, and the results of all efforts will be widely disseminated to advance progress in biomedical research. Towards these goals, our specific aims are to:1.) Increase the value and information content of AMS measurements by combining molecular speciation with quantitation of defined macromolecular isolates. Specifically, develop and validate methods for macromolecule labeling, characterization and quantitation.2.) Develop and validate methods and strategies to enable AMS to become more broadly used in human studies. Specifically, demonstrate robust methods for conducting pharmacokinetic/pharmacodynamics studies in humans and model systems.3.) Increase the accessibility of AMS to the Biomedical research community and the throughput of AMS through direct coupling to

  15. Financial Relationships between Organizations That Produce Clinical Practice Guidelines and the Biomedical Industry: A Cross-Sectional Study

    PubMed Central

    Campsall, Paul; Colizza, Kate; Straus, Sharon; Stelfox, Henry T.

    2016-01-01

    Background Financial relationships between organizations that produce clinical practice guidelines and biomedical companies are vulnerable to conflicts of interest. We sought to determine whether organizations that produce clinical practice guidelines have financial relationships with biomedical companies and whether there are associations between organizations’ conflict of interest policies and recommendations and disclosures provided in guidelines. Methods and Findings We conducted a cross-sectional survey and review of websites of 95 national/international medical organizations that produced 290 clinical practice guidelines published on the National Guideline Clearinghouse website from January 1 to December 31, 2012. Survey responses were available for 68% (65/95) of organizations (167/290 guidelines, 58%), and websites were reviewed for 100% (95/95) of organizations (290/290 guidelines, 100%). In all, 63% (60/95) of organizations producing clinical practice guidelines reported receiving funds from a biomedical company; 80% (76/95) of organizations reported having a policy for managing conflicts of interest. Disclosure statements (disclosing presence or absence of financial relationships with biomedical companies) were available in 65% (188/290) of clinical practice guidelines for direct funding sources to produce the guideline, 51% (147/290) for financial relationships of the guideline committee members, and 1% (4/290) for financial relationships of the organizations producing the guidelines. Among all guidelines, 6% (18/290) disclosed direct funding by biomedical companies, 40% (117/290) disclosed financial relationships between committee members and biomedical companies (38% of guideline committee members, 773/2,043), and 1% (4/290) disclosed financial relationships between the organizations producing the guidelines and biomedical companies. In the survey responses, 60 organizations reported the procedures that they included in their conflict of interest

  16. Financial Relationships between Organizations That Produce Clinical Practice Guidelines and the Biomedical Industry: A Cross-Sectional Study.

    PubMed

    Campsall, Paul; Colizza, Kate; Straus, Sharon; Stelfox, Henry T

    2016-05-01

    Financial relationships between organizations that produce clinical practice guidelines and biomedical companies are vulnerable to conflicts of interest. We sought to determine whether organizations that produce clinical practice guidelines have financial relationships with biomedical companies and whether there are associations between organizations' conflict of interest policies and recommendations and disclosures provided in guidelines. We conducted a cross-sectional survey and review of websites of 95 national/international medical organizations that produced 290 clinical practice guidelines published on the National Guideline Clearinghouse website from January 1 to December 31, 2012. Survey responses were available for 68% (65/95) of organizations (167/290 guidelines, 58%), and websites were reviewed for 100% (95/95) of organizations (290/290 guidelines, 100%). In all, 63% (60/95) of organizations producing clinical practice guidelines reported receiving funds from a biomedical company; 80% (76/95) of organizations reported having a policy for managing conflicts of interest. Disclosure statements (disclosing presence or absence of financial relationships with biomedical companies) were available in 65% (188/290) of clinical practice guidelines for direct funding sources to produce the guideline, 51% (147/290) for financial relationships of the guideline committee members, and 1% (4/290) for financial relationships of the organizations producing the guidelines. Among all guidelines, 6% (18/290) disclosed direct funding by biomedical companies, 40% (117/290) disclosed financial relationships between committee members and biomedical companies (38% of guideline committee members, 773/2,043), and 1% (4/290) disclosed financial relationships between the organizations producing the guidelines and biomedical companies. In the survey responses, 60 organizations reported the procedures that they included in their conflict of interest policies (158 guidelines

  17. [Master course in biomedical engineering].

    PubMed

    Jobbágy, Akos; Benyó, Zoltán; Monos, Emil

    2009-11-22

    The Bologna Declaration aims at harmonizing the European higher education structure. In accordance with the Declaration, biomedical engineering will be offered as a master (MSc) course also in Hungary, from year 2009. Since 1995 biomedical engineering course has been held in cooperation of three universities: Semmelweis University, Budapest Veterinary University, and Budapest University of Technology and Economics. One of the latter's faculties, Faculty of Electrical Engineering and Informatics, has been responsible for the course. Students could start their biomedical engineering studies - usually in parallel with their first degree course - after they collected at least 180 ECTS credits. Consequently, the biomedical engineering course could have been considered as a master course even before the Bologna Declaration. Students had to collect 130 ECTS credits during the six-semester course. This is equivalent to four-semester full-time studies, because during the first three semesters the curriculum required to gain only one third of the usual ECTS credits. The paper gives a survey on the new biomedical engineering master course, briefly summing up also the subjects in the curriculum.

  18. Bio-functionalization of biomedical metals.

    PubMed

    Xiao, M; Chen, Y M; Biao, M N; Zhang, X D; Yang, B C

    2017-01-01

    Bio-functionalization means to endow biomaterials with bio-functions so as to make the materials or devices more suitable for biomedical applications. Traditionally, because of the excellent mechanical properties, the biomedical metals have been widely used in clinic. However, the utilized functions are basically supporting or fixation especially for the implantable devices. Nowadays, some new functions, including bioactivity, anti-tumor, anti-microbial, and so on, are introduced to biomedical metals. To realize those bio-functions on the metallic biomedical materials, surface modification is the most commonly used method. Surface modification, including physical and chemical methods, is an effective way to alter the surface morphology and composition of biomaterials. It can endow the biomedical metals with new surface properties while still retain the good mechanical properties of the bulk material. Having analyzed the ways of realizing the bio-functionalization, this article briefly summarized the bio-functionalization concepts of six hot spots in this field. They are bioactivity, bony tissue inducing, anti-microbial, anti-tumor, anticoagulation, and drug loading functions. Copyright © 2016. Published by Elsevier B.V.

  19. Education of biomedical engineering in Taiwan.

    PubMed

    Lin, Kang-Ping; Kao, Tsair; Wang, Jia-Jung; Chen, Mei-Jung; Su, Fong-Chin

    2014-01-01

    Biomedical Engineers (BME) play an important role in medical and healthcare society. Well educational programs are important to support the healthcare systems including hospitals, long term care organizations, manufacture industries of medical devices/instrumentations/systems, and sales/services companies of medical devices/instrumentations/system. In past 30 more years, biomedical engineering society has accumulated thousands people hold a biomedical engineering degree, and work as a biomedical engineer in Taiwan. Most of BME students can be trained in biomedical engineering departments with at least one of specialties in bioelectronics, bio-information, biomaterials or biomechanics. Students are required to have internship trainings in related institutions out of campus for 320 hours before graduating. Almost all the biomedical engineering departments are certified by IEET (Institute of Engineering Education Taiwan), and met the IEET requirement in which required mathematics and fundamental engineering courses. For BMEs after graduation, Taiwanese Society of Biomedical Engineering (TSBME) provides many continue-learning programs and certificates for all members who expect to hold the certification as a professional credit in his working place. In current status, many engineering departments in university are continuously asked to provide joint programs with BME department to train much better quality students. BME is one of growing fields in Taiwan.

  20. The impact of socioeconomic status on the association between biomedical and psychosocial well-being and all-cause mortality in older Spanish adults.

    PubMed

    Doménech-Abella, Joan; Mundó, Jordi; Moneta, Maria Victoria; Perales, Jaime; Ayuso-Mateos, José Luis; Miret, Marta; Haro, Josep Maria; Olaya, Beatriz

    2018-03-01

    The aim of this paper was to analyze the effect of biomedical and psychosocial well-being, based on distinct successful aging models (SA), on time to mortality, and determine whether this effect was modified by socioeconomic status (SES) in a nationally representative sample of older Spanish adults. Data were taken from a 3-year follow-up study with 2783 participants aged 50 or over. Vital status was ascertained using national registers or asking participants' relatives. Kaplan-Meier curves were used to estimate the time to death by SES, and levels of biomedical and psychosocial SA. Cox proportional hazard regression models were conducted to explore interactions between SES and SA models while adjusting for gender, age, and marital status. Lower levels of SES and biomedical and psychosocial SA were associated with low probability of survival. Only the interaction between SES and biomedical SA was significant. Biomedical SA impacted on mortality rates among individuals with low SES but not on those with medium or high SES, whereas psychosocial SA affected mortality regardless of SES. Promoting equal access to health care system and improved psychosocial well-being could be a protective factor against premature mortality in older Spanish adults with low SES.

  1. Use of the computer and Internet among Italian families: first national study.

    PubMed

    Bricolo, Francesco; Gentile, Douglas A; Smelser, Rachel L; Serpelloni, Giovanni

    2007-12-01

    Although home Internet access has continued to increase, little is known about actual usage patterns in homes. This nationally representative study of over 4,700 Italian households with children measured computer and Internet use of each family member across 3 months. Data on actual computer and Internet usage were collected by Nielsen//NetRatings service and provide national baseline information on several variables for several age groups separately, including children, adolescents, and adult men and women. National averages are shown for the average amount of time spent using computers and on the Web, the percentage of each age group online, and the types of Web sites viewed. Overall, about one-third of children ages 2 to 11, three-fourths of adolescents and adult women, and over four-fifths of adult men access the Internet each month. Children spend an average of 22 hours/month on the computer, with a jump to 87 hours/month for adolescents. Adult women spend less time (about 60 hours/month), and adult men spend more (over 100). The types of Web sites visited are reported, including the top five for each age group. In general, search engines and Web portals are the top sites visited, regardless of age group. These data provide a baseline for comparisons across time and cultures.

  2. Management and Analysis of Biological and Clinical Data: How Computer Science May Support Biomedical and Clinical Research

    NASA Astrophysics Data System (ADS)

    Veltri, Pierangelo

    The use of computer based solutions for data management in biology and clinical science has contributed to improve life-quality and also to gather research results in shorter time. Indeed, new algorithms and high performance computation have been using in proteomics and genomics studies for curing chronic diseases (e.g., drug designing) as well as supporting clinicians both in diagnosis (e.g., images-based diagnosis) and patient curing (e.g., computer based information analysis on information gathered from patient). In this paper we survey on examples of computer based techniques applied in both biology and clinical contexts. The reported applications are also results of experiences in real case applications at University Medical School of Catanzaro and also part of experiences of the National project Staywell SH 2.0 involving many research centers and companies aiming to study and improve citizen wellness.

  3. Sandia National Laboratories Institutional Plan FY1994--1999

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Not Available

    1993-10-01

    This report presents a five year plan for the laboratory. This plan takes advantage of the technical strengths of the lab and its staff to address issues of concern to the nation on a scope much broader than Sandia`s original mission, while maintaining the general integrity of the laboratory. The plan proposes initiatives in a number of technologies which overlap the needs of its customers and the strengths of its staff. They include: advanced manufacturing technology; electronics; information and computational technology; transportation energy technology and infrastructure; environmental technology; energy research and technology development; biomedical systems engineering; and post-cold war defensemore » imperatives.« less

  4. Current biomedical waste management practices and cross-infection control procedures of dentists in India.

    PubMed

    Singh, Balendra Pratap; Khan, Suleman A; Agrawal, Neeraj; Siddharth, Ramashanker; Kumar, Lakshya

    2012-06-01

    To investigate the knowledge, attitudes and behaviour of dentists working in dental clinics and dental hospitals regarding biomedical waste management and cross-infection control. A national survey was conducted. Self-administered questionnaires were sent to 800 dentists across India. A total of 494 dentists responded, giving a response rate of 61.8%. Of these, 228 of 323 (70.6%) general dentists reported using boiling water as a sterilising medium and 339 (68.6%) dentists reported disposing of hazardous waste such as syringes, blades and ampoules in dustbins and emptying these into municipal corporation bins. Dentists should undergo continuing education programmes on biomedical waste management and infection control guidelines. Greater cooperation between dental clinics and hospitals and pollution control boards is needed to ensure the proper handling and disposal of biomedical waste. © 2012 FDI World Dental Federation.

  5. Biomedical text mining and its applications in cancer research.

    PubMed

    Zhu, Fei; Patumcharoenpol, Preecha; Zhang, Cheng; Yang, Yang; Chan, Jonathan; Meechai, Asawin; Vongsangnak, Wanwipa; Shen, Bairong

    2013-04-01

    Cancer is a malignant disease that has caused millions of human deaths. Its study has a long history of well over 100years. There have been an enormous number of publications on cancer research. This integrated but unstructured biomedical text is of great value for cancer diagnostics, treatment, and prevention. The immense body and rapid growth of biomedical text on cancer has led to the appearance of a large number of text mining techniques aimed at extracting novel knowledge from scientific text. Biomedical text mining on cancer research is computationally automatic and high-throughput in nature. However, it is error-prone due to the complexity of natural language processing. In this review, we introduce the basic concepts underlying text mining and examine some frequently used algorithms, tools, and data sets, as well as assessing how much these algorithms have been utilized. We then discuss the current state-of-the-art text mining applications in cancer research and we also provide some resources for cancer text mining. With the development of systems biology, researchers tend to understand complex biomedical systems from a systems biology viewpoint. Thus, the full utilization of text mining to facilitate cancer systems biology research is fast becoming a major concern. To address this issue, we describe the general workflow of text mining in cancer systems biology and each phase of the workflow. We hope that this review can (i) provide a useful overview of the current work of this field; (ii) help researchers to choose text mining tools and datasets; and (iii) highlight how to apply text mining to assist cancer systems biology research. Copyright © 2012 Elsevier Inc. All rights reserved.

  6. 78 FR 52777 - Implementation of the Revised International Guiding Principles for Biomedical Research Involving...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-26

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health Implementation of the... Institutes of Health (NIH) is providing guidance to Public Health Service (PHS) awardee institutions on implementation of the revised International Guiding Principles for Biomedical Research Involving Animals...

  7. Current Status of Biomedical Book Reviewing: Part IV. Major American and British Biomedical Book Publishers

    PubMed Central

    Chen, Ching-chih

    1974-01-01

    This is the fourth part of a comprehensive, quantitative study of biomedical book reviews. The data base of the total project was built from statistics of 3,347 reviews of 2,067 biomedical books taken from all 1970 issues of fifty-four reviewing journals. This part of the study identifies the major American and British biomedical book publishers in terms of their quantitative production of book titles reviewed, and determines the relationships among these publishers. It is found that Williams & Wilkins, Charles C Thomas, Academic Press, and Springer Verlag are the most productive biomedical book publishers in terms of books reviewed in 1970. These four publishers accounted for 32% of the 1,674 books available in the United States and reviewed in the reviewing media in 1970. Williams & Wilkins is especially significant by virtue of reprint activity. The present study also explores the price trend of biomedical books. It is found that the mean price for 1,077 books studied was $16.20 per volume, with a standard deviation of $9.42. PMID:4466508

  8. The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics research

    PubMed Central

    Goscinski, Wojtek J.; McIntosh, Paul; Felzmann, Ulrich; Maksimenko, Anton; Hall, Christopher J.; Gureyev, Timur; Thompson, Darren; Janke, Andrew; Galloway, Graham; Killeen, Neil E. B.; Raniga, Parnesh; Kaluza, Owen; Ng, Amanda; Poudel, Govinda; Barnes, David G.; Nguyen, Toan; Bonnington, Paul; Egan, Gary F.

    2014-01-01

    The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) is a national imaging and visualization facility established by Monash University, the Australian Synchrotron, the Commonwealth Scientific Industrial Research Organization (CSIRO), and the Victorian Partnership for Advanced Computing (VPAC), with funding from the National Computational Infrastructure and the Victorian Government. The MASSIVE facility provides hardware, software, and expertise to drive research in the biomedical sciences, particularly advanced brain imaging research using synchrotron x-ray and infrared imaging, functional and structural magnetic resonance imaging (MRI), x-ray computer tomography (CT), electron microscopy and optical microscopy. The development of MASSIVE has been based on best practice in system integration methodologies, frameworks, and architectures. The facility has: (i) integrated multiple different neuroimaging analysis software components, (ii) enabled cross-platform and cross-modality integration of neuroinformatics tools, and (iii) brought together neuroimaging databases and analysis workflows. MASSIVE is now operational as a nationally distributed and integrated facility for neuroinfomatics and brain imaging research. PMID:24734019

  9. The role of a creative "joint assignment" project in biomedical engineering bachelor degree education.

    PubMed

    Jiehui Jiang; Yuting Zhang; Mi Zhou; Xiaosong Zheng; Zhuangzhi Yan

    2017-07-01

    Biomedical Engineering (BME) bachelor education aims to train qualified engineers who devote themselves to addressing biological and medical problems by integrating the technological, medical and biological knowledge. Design thinking and teamwork with other disciplines are necessary for biomedical engineers. In the current biomedical engineering education system of Shanghai University (SHU), however, such design thinking and teamwork through a practical project is lacking. This paper describes a creative "joint assignment" project in Shanghai University, China, which has provided BME bachelor students a two-year practical experience to work with students from multidisciplinary departments including sociology, mechanics, computer sciences, business and art, etc. To test the feasibility of this project, a twenty-month pilot project has been carried out from May 2015 to December 2016. The results showed that this pilot project obviously enhanced competitive power of BME students in Shanghai University, both in the capabilities of design thinking and teamwork.

  10. Biomedical Engineering in Modern Society

    ERIC Educational Resources Information Center

    Attinger, E. O.

    1971-01-01

    Considers definition of biomedical engineering (BME) and how biomedical engineers should be trained. State of the art descriptions of BME and BME education are followed by a brief look at the future of BME. (TS)

  11. How the UK Can Lead the Terrestrial Translation of Biomedical Advances Arising from Lunar Exploration Activities

    NASA Astrophysics Data System (ADS)

    Green, David A.

    2010-12-01

    Terrestrial translation of biomedical advances is insufficient justification for lunar exploration. However, terrestrial translation should be viewed as a critical part of the cycle of mission planning, execution and review, both in terms of the progress of space exploration, but also of sustained life on Earth. Thus, both the mission and its potential to benefit mankind are increased by the adoption of human-based exploration of the lunar surface. Whilst European biomedical sciences have grown in stature, there remains a gap between space biomedical science and terrestrial medical application. As such, an opportunity for the UK to take a sustainable leadership role exists by utilising its biomedical science community, socialised health care system (National Health Service) and defined mechanisms to determine the clinical efficacy and cost-effectiveness upon health and wellbeing (i.e. National Institute Clinical Excellence), aiding the difficult process of health care rationing. By focusing upon exploitation of the more scientifically rewarding, potentially long-term and more terrestrially analogous challenge of lunar habitation, the UK would circumnavigate the current impediments to International Space Station utilisation. Early engagement in lunar exploration would promote the UK, and its adoption of a leadership role incorporating a considered approach to the development of space biomedicine with an eye to its terrestrial value. For instance, prolonged lunar habitation could provide an `ideal controlled environment' for investigation of medical interventions, in particular multiple interactions (e.g. between exercise and nutrition), a model of accelerated aging and a number of chronic pathologies, including those related to disuse. Lunar advances could provide a springboard for individualized medicine, insights into occupational and de-centralised medicine (e.g. telemedicine) and act as a stimulus for biomedical innovation and understanding. Leadership in

  12. Alkemio: association of chemicals with biomedical topics by text and data mining

    PubMed Central

    Gijón-Correas, José A.; Andrade-Navarro, Miguel A.; Fontaine, Jean F.

    2014-01-01

    The PubMed® database of biomedical citations allows the retrieval of scientific articles studying the function of chemicals in biology and medicine. Mining millions of available citations to search reported associations between chemicals and topics of interest would require substantial human time. We have implemented the Alkemio text mining web tool and SOAP web service to help in this task. The tool uses biomedical articles discussing chemicals (including drugs), predicts their relatedness to the query topic with a naïve Bayesian classifier and ranks all chemicals by P-values computed from random simulations. Benchmarks on seven human pathways showed good retrieval performance (areas under the receiver operating characteristic curves ranged from 73.6 to 94.5%). Comparison with existing tools to retrieve chemicals associated to eight diseases showed the higher precision and recall of Alkemio when considering the top 10 candidate chemicals. Alkemio is a high performing web tool ranking chemicals for any biomedical topics and it is free to non-commercial users. Availability: http://cbdm.mdc-berlin.de/∼medlineranker/cms/alkemio. PMID:24838570

  13. Building a Biomedical Cyberinfrastructure for Collaborative Research

    PubMed Central

    Schad, Peter A.; Mobley, Lee Rivers; Hamilton, Carol M.

    2018-01-01

    For the potential power of genome-wide association studies (GWAS) and translational medicine to be realized, the biomedical research community must adopt standard measures, vocabularies, and systems to establish an extensible biomedical cyberinfrastructure. Incorporating standard measures will greatly facilitate combining and comparing studies via meta-analysis, which is a means for deriving larger populations, needed for increased statistical power to detect less apparent and more complex associations (gene-environment interactions and polygenic gene-gene interactions). Incorporating consensus-based and well-established measures into various studies should reduce the variability across studies due to attributes of measurement, making findings across studies more comparable. This article describes two consensus-based approaches to establishing standard measures and systems: PhenX (consensus measures for Phenotypes and eXposures), and the Open Geospatial Consortium (OGC). National Institutes of Health support for these efforts has produced the PhenX Toolkit, an assembled catalog of standard measures for use in GWAS and other large-scale genomic research efforts, and the RTI Spatial Impact Factor Database (SIFD), a comprehensive repository of georeferenced variables and extensive metadata that conforms to OGC standards. The need for coordinated development of cyberinfrastructure to support collaboration and data interoperability is clear, and we discuss standard protocols for ensuring data compatibility and interoperability. Adopting a cyberinfrastructure that includes standard measures, vocabularies, and open-source systems architecture will enhance the potential of future biomedical and translational research. Establishing and maintaining the cyberinfrastructure will require a fundamental change in the way researchers think about study design, collaboration, and data storage and analysis. PMID:21521587

  14. Microcontroller-based wireless recorder for biomedical signals.

    PubMed

    Chien, C-N; Hsu, H-W; Jang, J-K; Rau, C-L; Jaw, F-S

    2005-01-01

    A portable multichannel system is described for the recording of biomedical signals wirelessly. Instead of using the conversional time-division analog-modulation method, the technique of digital multiplexing was applied to increase the number of signal channels to 4. Detailed design considerations and functional allocation of the system is discussed. The frontend unit was modularly designed to condition the input signal in an optimal manner. Then, the microcontroller handled the tasks of data conversion, wireless transmission, as well as providing the ability of simple preprocessing such as waveform averaging or rectification. The low-power nature of this microcontroller affords the benefit of battery operation and hence, patient isolation of the system. Finally, a single-chip receiver, which compatible with the RF transmitter of the microcontroller, was used to implement a compact interface with the host computer. An application of this portable recorder for low-back pain studies is shown. This device can simultaneously record one ECG and two surface EMG wirelessly, thus, is helpful in relieving patients' anxiety devising clinical measurement. Such an approach, microcontroller-based wireless measurement, could be an important trend for biomedical instrumentation and we help that this paper could be useful for other colleagues.

  15. Publications in biomedical and environmental sciences programs, 1981

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Moody, J.B.

    1982-07-01

    This bibliography contains 698 references to articles in journals, books, and reports published in the subject area of biomedical and environmental sciences during 1981. There are 520 references to articles published in journals and books and 178 references to reports. Staff members in the Biomedical and Environmental Sciences divisions have other publications not included in this bibliography; for example, theses, book reviews, abstracts published in journals or symposia proceedings, pending journal publications and reports such as monthly, bimonthly, and quarterly progress reports, contractor reports, and reports for internal distribution. This document is sorted by the division, and then alphabetically bymore » author. The sorting by divisions separates the references by subject area in a simple way. The divisions represented in the order that they appear in the bibliography are Analytical Chemistry, Biology, Chemical Technology, Information R and D, Health and Safety Research, Instrumentation and Controls, Computer Sciences, Energy, Engineering Technology, Solid State, Central Management, Operations, and Environmental Sciences. Indexes are provided by author, title, and journal reference.« less

  16. Telemedicine optoelectronic biomedical data processing system

    NASA Astrophysics Data System (ADS)

    Prosolovska, Vita V.

    2010-08-01

    The telemedicine optoelectronic biomedical data processing system is created to share medical information for the control of health rights and timely and rapid response to crisis. The system includes the main blocks: bioprocessor, analog-digital converter biomedical images, optoelectronic module for image processing, optoelectronic module for parallel recording and storage of biomedical imaging and matrix screen display of biomedical images. Rated temporal characteristics of the blocks defined by a particular triggering optoelectronic couple in analog-digital converters and time imaging for matrix screen. The element base for hardware implementation of the developed matrix screen is integrated optoelectronic couples produced by selective epitaxy.

  17. Description and operational status of the National Transonic Facility computer complex

    NASA Technical Reports Server (NTRS)

    Boyles, G. B., Jr.

    1986-01-01

    This paper describes the National Transonic Facility (NTF) computer complex and its support of tunnel operations. The capabilities of the research data acquisition and reduction are discussed along with the types of data that can be acquired and presented. Pretest, test, and posttest capabilities are also outlined along with a discussion of the computer complex to monitor the tunnel control processes and provide the tunnel operators with information needed to control the tunnel. Planned enhancements to the computer complex for support of future testing are presented.

  18. Comparing methods for analysis of biomedical hyperspectral image data

    NASA Astrophysics Data System (ADS)

    Leavesley, Silas J.; Sweat, Brenner; Abbott, Caitlyn; Favreau, Peter F.; Annamdevula, Naga S.; Rich, Thomas C.

    2017-02-01

    Over the past 2 decades, hyperspectral imaging technologies have been adapted to address the need for molecule-specific identification in the biomedical imaging field. Applications have ranged from single-cell microscopy to whole-animal in vivo imaging and from basic research to clinical systems. Enabling this growth has been the availability of faster, more effective hyperspectral filtering technologies and more sensitive detectors. Hence, the potential for growth of biomedical hyperspectral imaging is high, and many hyperspectral imaging options are already commercially available. However, despite the growth in hyperspectral technologies for biomedical imaging, little work has been done to aid users of hyperspectral imaging instruments in selecting appropriate analysis algorithms. Here, we present an approach for comparing the effectiveness of spectral analysis algorithms by combining experimental image data with a theoretical "what if" scenario. This approach allows us to quantify several key outcomes that characterize a hyperspectral imaging study: linearity of sensitivity, positive detection cut-off slope, dynamic range, and false positive events. We present results of using this approach for comparing the effectiveness of several common spectral analysis algorithms for detecting weak fluorescent protein emission in the midst of strong tissue autofluorescence. Results indicate that this approach should be applicable to a very wide range of applications, allowing a quantitative assessment of the effectiveness of the combined biology, hardware, and computational analysis for detecting a specific molecular signature.

  19. Technology | Frederick National Laboratory for Cancer Research

    Cancer.gov

    The Frederick National Laboratory develops and applies advanced, next-generation technologies to solve basic and applied problems in the biomedical sciences, and serves as a national resource of shared high-tech facilities.

  20. Hybrid brain-computer interface for biomedical cyber-physical system application using wireless embedded EEG systems.

    PubMed

    Chai, Rifai; Naik, Ganesh R; Ling, Sai Ho; Nguyen, Hung T

    2017-01-07

    One of the key challenges of the biomedical cyber-physical system is to combine cognitive neuroscience with the integration of physical systems to assist people with disabilities. Electroencephalography (EEG) has been explored as a non-invasive method of providing assistive technology by using brain electrical signals. This paper presents a unique prototype of a hybrid brain computer interface (BCI) which senses a combination classification of mental task, steady state visual evoked potential (SSVEP) and eyes closed detection using only two EEG channels. In addition, a microcontroller based head-mounted battery-operated wireless EEG sensor combined with a separate embedded system is used to enhance portability, convenience and cost effectiveness. This experiment has been conducted with five healthy participants and five patients with tetraplegia. Generally, the results show comparable classification accuracies between healthy subjects and tetraplegia patients. For the offline artificial neural network classification for the target group of patients with tetraplegia, the hybrid BCI system combines three mental tasks, three SSVEP frequencies and eyes closed, with average classification accuracy at 74% and average information transfer rate (ITR) of the system of 27 bits/min. For the real-time testing of the intentional signal on patients with tetraplegia, the average success rate of detection is 70% and the speed of detection varies from 2 to 4 s.

  1. Engineering excellence in breakthrough biomedical technologies: bioengineering at the University of California, Riverside.

    PubMed

    Schultz, Jane S; Rodgers, V G J

    2012-07-01

    The Department of Bioengineering at the University of California, Riverside (UCR), was established in 2006 and is the youngest department in the Bourns College of Engineering. It is an interdisciplinary research engine that builds strength from highly recognized experts in biochemistry, biophysics, biology, and engineering, focusing on common critical themes. The range of faculty research interests is notable for its diversity, from the basic cell biology through cell function to the physiology of the whole organism, each directed at breakthroughs in biomedical devices for measurement and therapy. The department forges future leaders in bioengineering, mirroring the field in being energetic, interdisciplinary, and fast moving at the frontiers of biomedical discoveries. Our educational programs combine a solid foundation in bio logical sciences and engineering, diverse communication skills, and training in the most advanced quantitative bioengineering research. Bioengineering at UCR also includes the Bioengineering Interdepartmental Graduate (BIG) program. With its slogan Start-Grow-Be-BIG, it is already recognized for its many accomplishments, including being third in the nation in 2011 for bioengineering students receiving National Science Foundation graduate research fellowships as well as being one of the most ethnically inclusive programs in the nation.

  2. SPARK: A Framework for Multi-Scale Agent-Based Biomedical Modeling.

    PubMed

    Solovyev, Alexey; Mikheev, Maxim; Zhou, Leming; Dutta-Moscato, Joyeeta; Ziraldo, Cordelia; An, Gary; Vodovotz, Yoram; Mi, Qi

    2010-01-01

    Multi-scale modeling of complex biological systems remains a central challenge in the systems biology community. A method of dynamic knowledge representation known as agent-based modeling enables the study of higher level behavior emerging from discrete events performed by individual components. With the advancement of computer technology, agent-based modeling has emerged as an innovative technique to model the complexities of systems biology. In this work, the authors describe SPARK (Simple Platform for Agent-based Representation of Knowledge), a framework for agent-based modeling specifically designed for systems-level biomedical model development. SPARK is a stand-alone application written in Java. It provides a user-friendly interface, and a simple programming language for developing Agent-Based Models (ABMs). SPARK has the following features specialized for modeling biomedical systems: 1) continuous space that can simulate real physical space; 2) flexible agent size and shape that can represent the relative proportions of various cell types; 3) multiple spaces that can concurrently simulate and visualize multiple scales in biomedical models; 4) a convenient graphical user interface. Existing ABMs of diabetic foot ulcers and acute inflammation were implemented in SPARK. Models of identical complexity were run in both NetLogo and SPARK; the SPARK-based models ran two to three times faster.

  3. Career Development among American Biomedical Postdocs

    PubMed Central

    Gibbs, Kenneth D.; McGready, John; Griffin, Kimberly

    2015-01-01

    Recent biomedical workforce policy efforts have centered on enhancing career preparation for trainees, and increasing diversity in the research workforce. Postdoctoral scientists, or postdocs, are among those most directly impacted by such initiatives, yet their career development remains understudied. This study reports results from a 2012 national survey of 1002 American biomedical postdocs. On average, postdocs reported increased knowledge about career options but lower clarity about their career goals relative to PhD entry. The majority of postdocs were offered structured career development at their postdoctoral institutions, but less than one-third received this from their graduate departments. Postdocs from all social backgrounds reported significant declines in interest in faculty careers at research-intensive universities and increased interest in nonresearch careers; however, there were differences in the magnitude and period of training during which these changes occurred across gender and race/ethnicity. Group differences in interest in faculty careers were explained by career interest differences formed during graduate school but not by differences in research productivity, research self-efficacy, or advisor relationships. These findings point to the need for enhanced career development earlier in the training process, and interventions sensitive to distinctive patterns of interest development across social identity groups. PMID:26582238

  4. Research on Computer-Based Education for Reading Teachers: A 1989 Update. Results of the First National Assessment of Computer Competence.

    ERIC Educational Resources Information Center

    Balajthy, Ernest

    Results of the 1985-86 National Assessment of Educational Progress (NAEP) survey of American students' knowledge of computers suggest that American schools have a long way to go before computers can be said to have made a significant impact. The survey covered the 3rd, 7th, and 11th grade levels and assessed competence in knowledge of computers,…

  5. The diversity of experimental organisms in biomedical research may be influenced by biomedical funding.

    PubMed

    Erick Peirson, B R; Kropp, Heather; Damerow, Julia; Laubichler, Manfred D

    2017-05-01

    Contrary to concerns of some critics, we present evidence that biomedical research is not dominated by a small handful of model organisms. An exhaustive analysis of research literature suggests that the diversity of experimental organisms in biomedical research has increased substantially since 1975. There has been a longstanding worry that organism-centric funding policies can lead to biases in experimental organism choice, and thus negatively impact the direction of research and the interpretation of results. Critics have argued that a focus on model organisms has unduly constrained the diversity of experimental organisms. The availability of large electronic databases of scientific literature, combined with interest in quantitative methods among philosophers of science, presents new opportunities for data-driven investigations into organism choice in biomedical research. The diversity of organisms used in NIH-funded research may be considerably lower than in the broader biomedical sciences, and may be subject to greater constraints on organism choice. © 2017 WILEY Periodicals, Inc.

  6. Publishing priorities of biomedical research funders

    PubMed Central

    Collins, Ellen

    2013-01-01

    Objectives To understand the publishing priorities, especially in relation to open access, of 10 UK biomedical research funders. Design Semistructured interviews. Setting 10 UK biomedical research funders. Participants 12 employees with responsibility for research management at 10 UK biomedical research funders; a purposive sample to represent a range of backgrounds and organisation types. Conclusions Publicly funded and large biomedical research funders are committed to open access publishing and are pleased with recent developments which have stimulated growth in this area. Smaller charitable funders are supportive of the aims of open access, but are concerned about the practical implications for their budgets and their funded researchers. Across the board, biomedical research funders are turning their attention to other priorities for sharing research outputs, including data, protocols and negative results. Further work is required to understand how smaller funders, including charitable funders, can support open access. PMID:24154520

  7. Translational science matters: forging partnerships between biomedical and behavioral science to advance the public's health.

    PubMed

    Mensah, George A; Czajkowski, Susan M

    2018-03-29

    The prevention and effective treatment of many chronic diseases such as cardiovascular disease, cancer and diabetes are dependent on behaviors such as not smoking, adopting a physically-active lifestyle, eating a healthy diet, and adhering to prescribed medical and behavioral regimens. Yet adoption and maintenance of these behaviors pose major challenges for individuals, their families and communities, as well as clinicians and health care systems. These challenges can best be met through the integration of the biomedical and behavioral sciences that is achieved by the formation of strategic partnerships between researchers and practitioners in these disciplines to address pressing clinical and public health problems. The National Institutes of Health has supported a number of clinical trials and research initiatives that demonstrate the value of biomedical and behavioral science partnerships in translating fundamental discoveries into significant improvements in health outcomes. We review several such examples of collaborations between biomedical and behavioral researchers, describe key initiatives focused on advancing a transdisciplinary translational perspective, and outline areas which require insights, tools and findings from both the biomedical and behavioral sciences to advance the public's health.

  8. A BRIEF HISTORY OF BIOMEDICAL RESEARCH ETHICS IN IRAN: CONFLICT OF PARADIGMS

    PubMed Central

    ARAMESH, KIARASH

    2014-01-01

    During the past two decades, Iran has experienced a noteworthy growth in its biomedical research sector. At the same time, ethical concerns and debates resulting from this burgeoning enterprise has led to increasing attention paid to biomedical ethics. In Iran, Biomedical research ethics and research oversight passed through major periods during the past decades, separated by a paradigm shift. Period 1, starting from the early 1970s, is characterized by research paternalism and complete reliance on researchers as virtuous and caring physicians. This approach was in concordance with the paternalistic clinical practice of physicians outside of research settings during the same period. Period 2, starting from the late 1990s, was partly due to revealing of ethical flaws that occurred in biomedical research in Iran. The regulatory and funding bodies concluded that it was not sufficient to rely solely on the personal and professional virtues of researchers to safeguard human subjects’ rights and welfare. The necessity for independent oversight, emphasized by international declarations, became obvious and undeniable. This paradigm shift led to the establishment of research ethics committees throughout the country, the establishment of academic research centers focusing on medical ethics (MEHR) and the compilation of the first set of national ethical guidelines on biomedical research–one of the first and most important projects conducted by and in the MEHR. Although not yet arrived, ‘period 3’ is on its way. It is predictable from the obvious trends toward performance of high-quality clinical research and the appearance of a highly educated new generation, especially among women. PMID:24720443

  9. NASA Johnson Space Center Biomedical Research Resources

    NASA Technical Reports Server (NTRS)

    Paloski, W. H.

    1999-01-01

    Johnson Space Center (JSC) medical sciences laboratories constitute a national resource for support of medical operations and life sciences research enabling a human presence in space. They play a critical role in evaluating, defining, and mitigation the untoward effect of human adaption to space flight. Over the years they have developed the unique facilities and expertise required to perform: biomedical sample analysis and physiological performance tests supporting medical evaluations of space flight crew members and scientific investigations of the operationally relevant medical, physiological, cellular, and biochemical issues associated with human space flight. A general overview of these laboratories is presented in viewgraph form.

  10. Large-Scale Data Collection Metadata Management at the National Computation Infrastructure

    NASA Astrophysics Data System (ADS)

    Wang, J.; Evans, B. J. K.; Bastrakova, I.; Ryder, G.; Martin, J.; Duursma, D.; Gohar, K.; Mackey, T.; Paget, M.; Siddeswara, G.

    2014-12-01

    Data Collection management has become an essential activity at the National Computation Infrastructure (NCI) in Australia. NCI's partners (CSIRO, Bureau of Meteorology, Australian National University, and Geoscience Australia), supported by the Australian Government and Research Data Storage Infrastructure (RDSI), have established a national data resource that is co-located with high-performance computing. This paper addresses the metadata management of these data assets over their lifetime. NCI manages 36 data collections (10+ PB) categorised as earth system sciences, climate and weather model data assets and products, earth and marine observations and products, geosciences, terrestrial ecosystem, water management and hydrology, astronomy, social science and biosciences. The data is largely sourced from NCI partners, the custodians of many of the national scientific records, and major research community organisations. The data is made available in a HPC and data-intensive environment - a ~56000 core supercomputer, virtual labs on a 3000 core cloud system, and data services. By assembling these large national assets, new opportunities have arisen to harmonise the data collections, making a powerful cross-disciplinary resource.To support the overall management, a Data Management Plan (DMP) has been developed to record the workflows, procedures, the key contacts and responsibilities. The DMP has fields that can be exported to the ISO19115 schema and to the collection level catalogue of GeoNetwork. The subset or file level metadata catalogues are linked with the collection level through parent-child relationship definition using UUID. A number of tools have been developed that support interactive metadata management, bulk loading of data, and support for computational workflows or data pipelines. NCI creates persistent identifiers for each of the assets. The data collection is tracked over its lifetime, and the recognition of the data providers, data owners, data

  11. Functionalized carbon nanotubes: biomedical applications

    PubMed Central

    Vardharajula, Sandhya; Ali, Sk Z; Tiwari, Pooja M; Eroğlu, Erdal; Vig, Komal; Dennis, Vida A; Singh, Shree R

    2012-01-01

    Carbon nanotubes (CNTs) are emerging as novel nanomaterials for various biomedical applications. CNTs can be used to deliver a variety of therapeutic agents, including biomolecules, to the target disease sites. In addition, their unparalleled optical and electrical properties make them excellent candidates for bioimaging and other biomedical applications. However, the high cytotoxicity of CNTs limits their use in humans and many biological systems. The biocompatibility and low cytotoxicity of CNTs are attributed to size, dose, duration, testing systems, and surface functionalization. The functionalization of CNTs improves their solubility and biocompatibility and alters their cellular interaction pathways, resulting in much-reduced cytotoxic effects. Functionalized CNTs are promising novel materials for a variety of biomedical applications. These potential applications are particularly enhanced by their ability to penetrate biological membranes with relatively low cytotoxicity. This review is directed towards the overview of CNTs and their functionalization for biomedical applications with minimal cytotoxicity. PMID:23091380

  12. Functionalized carbon nanotubes: biomedical applications.

    PubMed

    Vardharajula, Sandhya; Ali, Sk Z; Tiwari, Pooja M; Eroğlu, Erdal; Vig, Komal; Dennis, Vida A; Singh, Shree R

    2012-01-01

    Carbon nanotubes (CNTs) are emerging as novel nanomaterials for various biomedical applications. CNTs can be used to deliver a variety of therapeutic agents, including biomolecules, to the target disease sites. In addition, their unparalleled optical and electrical properties make them excellent candidates for bioimaging and other biomedical applications. However, the high cytotoxicity of CNTs limits their use in humans and many biological systems. The biocompatibility and low cytotoxicity of CNTs are attributed to size, dose, duration, testing systems, and surface functionalization. The functionalization of CNTs improves their solubility and biocompatibility and alters their cellular interaction pathways, resulting in much-reduced cytotoxic effects. Functionalized CNTs are promising novel materials for a variety of biomedical applications. These potential applications are particularly enhanced by their ability to penetrate biological membranes with relatively low cytotoxicity. This review is directed towards the overview of CNTs and their functionalization for biomedical applications with minimal cytotoxicity.

  13. Building integrated pathways to independence for diverse biomedical researchers: Project Pathways, the BUILD program at Xavier University of Louisiana.

    PubMed

    Foroozesh, Maryam; Giguette, Marguerite; Morgan, Kathleen; Johanson, Kelly; D'Amour, Gene; Coston, Tiera; Wilkins-Green, Clair

    2017-01-01

    Xavier University of Louisiana is a historically Black and Catholic university that is nationally recognized for its science, technology, engineering and mathematics (STEM) curricula. Approximately 73% of Xavier's students are African American, and about 77% major in the biomedical sciences. Xavier is a national leader in the number of STEM majors who go on to receive M.D. degrees and Ph.D. degrees in science and engineering. Despite Xavier's advances in this area, African Americans still earn about 7.5% of the Bachelor's degrees, less than 8% of the Master's degrees, and less than 5% of the doctoral degrees conferred in STEM disciplines in the United States. Additionally, although many well-prepared, highly-motivated students are attracted by Xavier's reputation in the sciences, many of these students, though bright and capable, come from underperforming public school systems and receive substandard preparation in STEM disciplines. The purpose of this article is to describe how Xavier works to overcome unequal education backgrounds and socioeconomic challenges to develop student talent through expanding biomedical training opportunities and build on an established reputation in science education. The National Institutes of Health (NIH)/National Institute of General Medical Sciences (NIGMS)-funded BUILD (Building Infrastructure Leading to Diversity) Program at Xavier University of Louisiana, Project Pathways , is a highly-innovative program designed to broaden the career interests of students early on, and to engage them in activities that entice them to continue their education towards biomedical research careers. Project strategies involve a transformation of Xavier's academic and non-academic programs through the redesign, supplementation and integration of academic advising, tutoring, career services, personal counseling, undergraduate research training, faculty research mentoring, and development of new biomedical and research skills courses. The Program also

  14. Current perspectives on biomedical waste management: Rules, conventions and treatment technologies.

    PubMed

    Capoor, Malini R; Bhowmik, Kumar Tapas

    2017-01-01

    Unregulated biomedical waste management (BMWM) is a public health problem. This has posed a grave threat to not only human health and safety but also to the environment for the current and future generations. Safe and reliable methods for handling of biomedical waste (BMW) are of paramount importance. Effective BMWM is not only a legal necessity but also a social responsibility. This article reviews the current perspectives on BMWM and rules, conventions and the treatment technologies used worldwide. BMWM should ideally be the subject of a national strategy with dedicated infrastructure, cradle-to-grave legislation, competent regulatory authority and trained personnel. Improving the management of biomedical waste begins with waste minimisation. These standards, norms and rules on BMWM in a country regulate the disposal of various categories of BMW to ensure the safety of the health-care workers, patients, public and environment. Furthermore, developing models for the monitoring of hospital health-care waste practices and research into non-burn eco-friendly sustainable technologies, recycling and polyvinyl chloride-free devices will go in long way for safe carbon environment. Globally, greater research in BMWM is warranted to understand its growing field of public health importance.

  15. Survey of checkpoints along the pathway to diverse biomedical research faculty

    PubMed Central

    Brown, Abigail M.; Moneta-Koehler, Liane; Chalkley, Roger

    2018-01-01

    There is a persistent shortage of underrepresented minority (URM) faculty who are involved in basic biomedical research at medical schools. We examined the entire training pathway of potential candidates to identify the points of greatest loss. Using a range of recent national data sources, including the National Science Foundation’s Survey of Earned Doctorates and Survey of Doctoral Recipients, we analyzed the demographics of the population of interest, specifically those from URM backgrounds with an interest in biomedical sciences. We examined the URM population from high school graduates through undergraduate, graduate, and postdoctoral training as well as the URM population in basic science tenure track faculty positions at medical schools. We find that URM and non-URM trainees are equally likely to transition into doctoral programs, to receive their doctoral degree, and to secure a postdoctoral position. However, the analysis reveals that the diversions from developing a faculty career are found primarily at two clearly identifiable places, specifically during undergraduate education and in transition from postdoctoral fellowship to tenure track faculty in the basic sciences at medical schools. We suggest focusing additional interventions on these two stages along the educational pathway. PMID:29338019

  16. Biomedical and Behavioral Research Scientists: Their Training and Supply. Volume 2: Statistical Tables.

    ERIC Educational Resources Information Center

    National Academy of Sciences - National Research Council, Washington, DC. Office of Scientific and Engineering Personnel.

    Volume Two of a three volume set of the Biomedical and Behavioral Research Scientists study presents tables of data which were required for the study's development by the National Research Council. Data from these tables were obtained from the Association of American Medical Colleges, the American Dental Association, the American Medical…

  17. Genomic cloud computing: legal and ethical points to consider

    PubMed Central

    Dove, Edward S; Joly, Yann; Tassé, Anne-Marie; Burton, Paul; Chisholm, Rex; Fortier, Isabel; Goodwin, Pat; Harris, Jennifer; Hveem, Kristian; Kaye, Jane; Kent, Alistair; Knoppers, Bartha Maria; Lindpaintner, Klaus; Little, Julian; Riegman, Peter; Ripatti, Samuli; Stolk, Ronald; Bobrow, Martin; Cambon-Thomsen, Anne; Dressler, Lynn; Joly, Yann; Kato, Kazuto; Knoppers, Bartha Maria; Rodriguez, Laura Lyman; McPherson, Treasa; Nicolás, Pilar; Ouellette, Francis; Romeo-Casabona, Carlos; Sarin, Rajiv; Wallace, Susan; Wiesner, Georgia; Wilson, Julia; Zeps, Nikolajs; Simkevitz, Howard; De Rienzo, Assunta; Knoppers, Bartha M

    2015-01-01

    The biggest challenge in twenty-first century data-intensive genomic science, is developing vast computer infrastructure and advanced software tools to perform comprehensive analyses of genomic data sets for biomedical research and clinical practice. Researchers are increasingly turning to cloud computing both as a solution to integrate data from genomics, systems biology and biomedical data mining and as an approach to analyze data to solve biomedical problems. Although cloud computing provides several benefits such as lower costs and greater efficiency, it also raises legal and ethical issues. In this article, we discuss three key ‘points to consider' (data control; data security, confidentiality and transfer; and accountability) based on a preliminary review of several publicly available cloud service providers' Terms of Service. These ‘points to consider' should be borne in mind by genomic research organizations when negotiating legal arrangements to store genomic data on a large commercial cloud service provider's servers. Diligent genomic cloud computing means leveraging security standards and evaluation processes as a means to protect data and entails many of the same good practices that researchers should always consider in securing their local infrastructure. PMID:25248396

  18. Genomic cloud computing: legal and ethical points to consider.

    PubMed

    Dove, Edward S; Joly, Yann; Tassé, Anne-Marie; Knoppers, Bartha M

    2015-10-01

    The biggest challenge in twenty-first century data-intensive genomic science, is developing vast computer infrastructure and advanced software tools to perform comprehensive analyses of genomic data sets for biomedical research and clinical practice. Researchers are increasingly turning to cloud computing both as a solution to integrate data from genomics, systems biology and biomedical data mining and as an approach to analyze data to solve biomedical problems. Although cloud computing provides several benefits such as lower costs and greater efficiency, it also raises legal and ethical issues. In this article, we discuss three key 'points to consider' (data control; data security, confidentiality and transfer; and accountability) based on a preliminary review of several publicly available cloud service providers' Terms of Service. These 'points to consider' should be borne in mind by genomic research organizations when negotiating legal arrangements to store genomic data on a large commercial cloud service provider's servers. Diligent genomic cloud computing means leveraging security standards and evaluation processes as a means to protect data and entails many of the same good practices that researchers should always consider in securing their local infrastructure.

  19. Professional Identification for Biomedical Engineers

    ERIC Educational Resources Information Center

    Long, Francis M.

    1973-01-01

    Discusses four methods of professional identification in biomedical engineering including registration, certification, accreditation, and possible membership qualification of the societies. Indicates that the destiny of the biomedical engineer may be under the control of a new profession, neither the medical nor the engineering. (CC)

  20. Can small institutes address some problems facing biomedical researchers?

    PubMed

    Sheetz, Michael P

    2014-11-01

    At a time of historically low National Institutes of Health funding rates and many problems with the conduct of research (unfunded mandates, disgruntled reviewers, and rampant paranoia), there is a concern that biomedical research as a profession is waning in the United States (see "Rescuing US biomedical research from its systemic flaws" by Alberts and colleagues in the Proceedings of the National Academy of Sciences). However, it is wonderful to discover something new and to tackle tough puzzles. If we could focus more of our effort on discussing scientific problems and doing research, then we could be more productive and perhaps happier. One potential solution is to focus efforts on small thematic institutes in the university structure that can provide a stimulating and supportive environment for innovation and exploration. With an open-lab concept, there are economies of scale that can diminish paperwork and costs, while providing greater access to state-of-the-art equipment. Merging multiple disciplines around a common theme can catalyze innovation, and this enables individuals to develop new concepts without giving up the credit they deserve, because it is usually clear who did the work. Small institutes do not solve larger systemic problems but rather enable collective efforts to address the noisome aspects of the system and foster an innovative community effort to address scientific problems. © 2014 Sheetz.

  1. An exploration of the biomedical optics course construction of undergraduate biomedical engineering program in medical colleges

    NASA Astrophysics Data System (ADS)

    Guo, Shijun; Lyu, Jie; Zhang, Peiming

    2017-08-01

    In this paper, the teaching goals, teaching contents and teaching methods in biomedical optics course construction are discussed. From the dimension of teaching goals, students should master the principle of optical inspection on the human body, diagnosis and treatment of methodology and instruments, through the study of the theory and practice of this course, and can utilize biomedical optics methods to solve practical problems in the clinical medical engineering practice. From the dimension of teaching contents, based on the characteristics of biomedical engineering in medical colleges, the organic integration of engineering aspects, medical optical instruments, and biomedical aspects dispersed in human anatomy, human physiology, clinical medicine fundamental related to the biomedical optics is build. Noninvasive measurement of the human body composition and noninvasive optical imaging of the human body were taken as actual problems in biomedical optics fields. Typical medical applications such as eye optics and laser medicine were also integrated into the theory and practice teaching. From the dimension of teaching methods, referencing to organ-system based medical teaching mode, optical principle and instrument principle were taught by teachers from school of medical instruments, and the histological characteristics and clinical actual need in areas such as digestive diseases and urinary surgery were taught by teachers from school of basic medicine or clinical medicine of medical colleges. Furthermore, clinical application guidance would be provided by physician and surgeons in hospitals.

  2. CNN-based ranking for biomedical entity normalization.

    PubMed

    Li, Haodi; Chen, Qingcai; Tang, Buzhou; Wang, Xiaolong; Xu, Hua; Wang, Baohua; Huang, Dong

    2017-10-03

    Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel convolutional neural network (CNN) architecture that regards biomedical entity normalization as a ranking problem and benefits from semantic information of biomedical entities. The CNN-based ranking method first generates candidates using handcrafted rules, and then ranks the candidates according to their semantic information modeled by CNN as well as their morphological information. Experiments on two benchmark datasets for biomedical entity normalization show that our proposed CNN-based ranking method outperforms traditional rule-based method with state-of-the-art performance. We propose a CNN architecture that regards biomedical entity normalization as a ranking problem. Comparison results show that semantic information is beneficial to biomedical entity normalization and can be well combined with morphological information in our CNN architecture for further improvement.

  3. National Institutes of Health addresses the science of diversity.

    PubMed

    Valantine, Hannah A; Collins, Francis S

    2015-10-06

    The US biomedical research workforce does not currently mirror the nation's population demographically, despite numerous attempts to increase diversity. This imbalance is limiting the promise of our biomedical enterprise for building knowledge and improving the nation's health. Beyond ensuring fairness in scientific workforce representation, recruiting and retaining a diverse set of minds and approaches is vital to harnessing the complete intellectual capital of the nation. The complexity inherent in diversifying the research workforce underscores the need for a rigorous scientific approach, consistent with the ways we address the challenges of science discovery and translation to human health. Herein, we identify four cross-cutting diversity challenges ripe for scientific exploration and opportunity: research evidence for diversity's impact on the quality and outputs of science; evidence-based approaches to recruitment and training; individual and institutional barriers to workforce diversity; and a national strategy for eliminating barriers to career transition, with scientifically based approaches for scaling and dissemination. Evidence-based data for each of these challenges should provide an integrated, stepwise approach to programs that enhance diversity rapidly within the biomedical research workforce.

  4. qPortal: A platform for data-driven biomedical research.

    PubMed

    Mohr, Christopher; Friedrich, Andreas; Wojnar, David; Kenar, Erhan; Polatkan, Aydin Can; Codrea, Marius Cosmin; Czemmel, Stefan; Kohlbacher, Oliver; Nahnsen, Sven

    2018-01-01

    Modern biomedical research aims at drawing biological conclusions from large, highly complex biological datasets. It has become common practice to make extensive use of high-throughput technologies that produce big amounts of heterogeneous data. In addition to the ever-improving accuracy, methods are getting faster and cheaper, resulting in a steadily increasing need for scalable data management and easily accessible means of analysis. We present qPortal, a platform providing users with an intuitive way to manage and analyze quantitative biological data. The backend leverages a variety of concepts and technologies, such as relational databases, data stores, data models and means of data transfer, as well as front-end solutions to give users access to data management and easy-to-use analysis options. Users are empowered to conduct their experiments from the experimental design to the visualization of their results through the platform. Here, we illustrate the feature-rich portal by simulating a biomedical study based on publically available data. We demonstrate the software's strength in supporting the entire project life cycle. The software supports the project design and registration, empowers users to do all-digital project management and finally provides means to perform analysis. We compare our approach to Galaxy, one of the most widely used scientific workflow and analysis platforms in computational biology. Application of both systems to a small case study shows the differences between a data-driven approach (qPortal) and a workflow-driven approach (Galaxy). qPortal, a one-stop-shop solution for biomedical projects offers up-to-date analysis pipelines, quality control workflows, and visualization tools. Through intensive user interactions, appropriate data models have been developed. These models build the foundation of our biological data management system and provide possibilities to annotate data, query metadata for statistics and future re-analysis on

  5. Empirical Distributional Semantics: Methods and Biomedical Applications

    PubMed Central

    Cohen, Trevor; Widdows, Dominic

    2009-01-01

    Over the past fifteen years, a range of methods have been developed that are able to learn human-like estimates of the semantic relatedness between terms from the way in which these terms are distributed in a corpus of unannotated natural language text. These methods have also been evaluated in a number of applications in the cognitive science, computational linguistics and the information retrieval literatures. In this paper, we review the available methodologies for derivation of semantic relatedness from free text, as well as their evaluation in a variety of biomedical and other applications. Recent methodological developments, and their applicability to several existing applications are also discussed. PMID:19232399

  6. New roles & responsibilities of hospital biomedical engineering.

    PubMed

    Frisch, P H; Stone, B; Booth, P; Lui, W

    2014-01-01

    Over the last decade the changing healthcare environment has required hospitals and specifically Biomedical Engineering to critically evaluate, optimize and adapt their operations. The focus is now on new technologies, changes to the environment of care, support requirements and financial constraints. Memorial Sloan Kettering Cancer Center (MSKCC), an NIH-designated comprehensive cancer center, has been transitioning to an increasing outpatient care environment. This transition is driving an increase in-patient acuity coupled with the need for added urgency of support and response time. New technologies, regulatory requirements and financial constraints have impacted operating budgets and in some cases, resulted in a reduction in staffing. Specific initiatives, such as the Joint Commission's National Patient Safety Goals, requirements for an electronic medical record, meaningful use and ICD10 have caused institutions to reevaluate their operations and processes including requiring Biomedical Engineering to manage new technologies, integrations and changes in the electromagnetic environment, while optimizing operational workflow and resource utilization. This paper addresses the new and expanding responsibilities and approach of Biomedical Engineering organizations, specifically at MSKCC. It is suggested that our experience may be a template for other organizations facing similar problems. Increasing support is necessary for Medical Software - Medical Device Data Systems in the evolving wireless environment, including RTLS and RFID. It will be necessary to evaluate the potential impact on the growing electromagnetic environment, on connectivity resulting in the need for dynamic and interactive testing and the growing demand to establish new and needed operational synergies with Information Technology operations and other operational groups within the institution, such as nursing, facilities management, central supply, and the user departments.

  7. Current status of biomedical book reviewing. I. Key biomedical reviewing journals with quantitative significance.

    PubMed

    Chen, C C; Wright, A M

    1974-04-01

    This is the first part of a comprehensive, quantitative study of biomedical book reviewing. The data base of the total project was built from statistics taken from all 1970 issues of biomedical journals held in the Science Library of the Massachusetts Institute of Technology. Of 285 so-called "life sciences" journals held by that library, fifty-four English journals (excluding Science and Nature) were found to contain bona fide book reviews (as contrasted with mere author-title lists) and were therefore selected for close study. The statistical results reveal that there were 3,347 reviews of 2,067 biomedical books in these fifty-four selected journals in 1970. Part I of the study identifies key biomedical reviewing journals of quantitative significance. The top ten journals, British Medical Journal, Lancet, Annals of Internal Medicine, Journal of the American Medical Association, Archives of Internal Medicine, New England Journal of Medicine, Quarterly Review of Biology, Bioscience, Canadian Medical Association Journal,(*) and American Journal of the Medical Sciences, accounted for 63.03% of the total number of reviews in 1970.

  8. An efficient, large-scale, non-lattice-detection algorithm for exhaustive structural auditing of biomedical ontologies.

    PubMed

    Zhang, Guo-Qiang; Xing, Guangming; Cui, Licong

    2018-04-01

    One of the basic challenges in developing structural methods for systematic audition on the quality of biomedical ontologies is the computational cost usually involved in exhaustive sub-graph analysis. We introduce ANT-LCA, a new algorithm for computing all non-trivial lowest common ancestors (LCA) of each pair of concepts in the hierarchical order induced by an ontology. The computation of LCA is a fundamental step for non-lattice approach for ontology quality assurance. Distinct from existing approaches, ANT-LCA only computes LCAs for non-trivial pairs, those having at least one common ancestor. To skip all trivial pairs that may be of no practical interest, ANT-LCA employs a simple but innovative algorithmic strategy combining topological order and dynamic programming to keep track of non-trivial pairs. We provide correctness proofs and demonstrate a substantial reduction in computational time for two largest biomedical ontologies: SNOMED CT and Gene Ontology (GO). ANT-LCA achieved an average computation time of 30 and 3 sec per version for SNOMED CT and GO, respectively, about 2 orders of magnitude faster than the best known approaches. Our algorithm overcomes a fundamental computational barrier in sub-graph based structural analysis of large ontological systems. It enables the implementation of a new breed of structural auditing methods that not only identifies potential problematic areas, but also automatically suggests changes to fix the issues. Such structural auditing methods can lead to more effective tools supporting ontology quality assurance work. Copyright © 2018 Elsevier Inc. All rights reserved.

  9. [Integration of fundamental and applied medical and technical research made at the department of the biomedical systems, Moscow State Institute of Electronic Engineering].

    PubMed

    Selishchev, S V

    2004-01-01

    The integration results of fundamental and applied medical-and-technical research made at the chair of biomedical systems, Moscow state institute of electronic engineering (technical university--MSIEE), are described in the paper. The chair is guided in its research activity by the traditions of higher education in Russia in the field of biomedical electronics and biomedical engineering. Its activities are based on the extrapolation of methods of electronic tools, computer technologies, physics, biology and medicine with due respect being paid to the requirements of practical medicine and to topical issues of research and design.

  10. National Institute of Standards and Technology measurement service of the optical properties of biomedical phantoms: Current status

    PubMed Central

    Lemaillet, Paul; Cooksey, Catherine C.; Levine, Zachary H.; Pintar, Adam L.; Hwang, Jeeseong; Allen, David W.

    2016-01-01

    The National Institute of Standards and Technology (NIST) has maintained scales for reflectance and transmittance over several decades. The scales are primarily intended for regular transmittance, mirrors, and solid surface scattering diffusers. The rapidly growing area of optical medical imaging needs a scale for volume scattering of diffuse materials that are used to mimic the optical properties of tissue. Such materials are used as phantoms to evaluate and validate instruments under development intended for clinical use. To address this need, a double-integrating sphere based instrument has been installed to measure the optical properties of tissue-mimicking phantoms. The basic system and methods have been described in previous papers. An important attribute in establishing a viable calibration service is the estimation of measurement uncertainties. The use of custom models and comparisons with other established scales enabled uncertainty measurements. Here, we describe the continuation of those efforts to advance the understanding of the uncertainties through two independent measurements: the bidirectional reflectance distribution function and the bidirectional transmittance distribution function of a commercially available solid biomedical phantom. A Monte Carlo-based model is used and the resulting optical properties are compared to the values provided by the phantom manufacturer. PMID:27453623

  11. National Institute of Standards and Technology measurement service of the optical properties of biomedical phantoms: Current status.

    PubMed

    Lemaillet, Paul; Cooksey, Catherine C; Levine, Zachary H; Pintar, Adam L; Hwang, Jeeseong; Allen, David W

    2016-03-24

    The National Institute of Standards and Technology (NIST) has maintained scales for reflectance and transmittance over several decades. The scales are primarily intended for regular transmittance, mirrors, and solid surface scattering diffusers. The rapidly growing area of optical medical imaging needs a scale for volume scattering of diffuse materials that are used to mimic the optical properties of tissue. Such materials are used as phantoms to evaluate and validate instruments under development intended for clinical use. To address this need, a double-integrating sphere based instrument has been installed to measure the optical properties of tissue-mimicking phantoms. The basic system and methods have been described in previous papers. An important attribute in establishing a viable calibration service is the estimation of measurement uncertainties. The use of custom models and comparisons with other established scales enabled uncertainty measurements. Here, we describe the continuation of those efforts to advance the understanding of the uncertainties through two independent measurements: the bidirectional reflectance distribution function and the bidirectional transmittance distribution function of a commercially available solid biomedical phantom. A Monte Carlo-based model is used and the resulting optical properties are compared to the values provided by the phantom manufacturer.

  12. Special Issue: 3D Printing for Biomedical Engineering.

    PubMed

    Chua, Chee Kai; Yeong, Wai Yee; An, Jia

    2017-02-28

    Three-dimensional (3D) printing has a long history of applications in biomedical engineering. The development and expansion of traditional biomedical applications are being advanced and enriched by new printing technologies. New biomedical applications such as bioprinting are highly attractive and trendy. This Special Issue aims to provide readers with a glimpse of the recent profile of 3D printing in biomedical research.

  13. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.

    PubMed

    Pang, Shuchao; Yu, Zhezhou; Orgun, Mehmet A

    2017-03-01

    Highly accurate classification of biomedical images is an essential task in the clinical diagnosis of numerous medical diseases identified from those images. Traditional image classification methods combined with hand-crafted image feature descriptors and various classifiers are not able to effectively improve the accuracy rate and meet the high requirements of classification of biomedical images. The same also holds true for artificial neural network models directly trained with limited biomedical images used as training data or directly used as a black box to extract the deep features based on another distant dataset. In this study, we propose a highly reliable and accurate end-to-end classifier for all kinds of biomedical images via deep learning and transfer learning. We first apply domain transferred deep convolutional neural network for building a deep model; and then develop an overall deep learning architecture based on the raw pixels of original biomedical images using supervised training. In our model, we do not need the manual design of the feature space, seek an effective feature vector classifier or segment specific detection object and image patches, which are the main technological difficulties in the adoption of traditional image classification methods. Moreover, we do not need to be concerned with whether there are large training sets of annotated biomedical images, affordable parallel computing resources featuring GPUs or long times to wait for training a perfect deep model, which are the main problems to train deep neural networks for biomedical image classification as observed in recent works. With the utilization of a simple data augmentation method and fast convergence speed, our algorithm can achieve the best accuracy rate and outstanding classification ability for biomedical images. We have evaluated our classifier on several well-known public biomedical datasets and compared it with several state-of-the-art approaches. We propose a robust

  14. Commercial Biomedical Experiments

    NASA Technical Reports Server (NTRS)

    2003-01-01

    Experiments to seek solutions for a range of biomedical issues are at the heart of several investigations that will be hosted by the Commercial Instrumentation Technology Associates (ITA), Inc. Biomedical Experiments (CIBX-2) payload. CIBX-2 is unique, encompassing more than 20 separate experiments including cancer research, commercial experiments, and student hands-on experiments from 10 schools as part of ITA's ongoing University Among the Stars program. Valerie Cassanto of ITA checks the Canadian Protein Crystallization Experiment (CAPE) carried by STS-86 to Mir in 1997. The experiments are sponsored by NASA's Space Product Development Program (SPD).

  15. Alkemio: association of chemicals with biomedical topics by text and data mining.

    PubMed

    Gijón-Correas, José A; Andrade-Navarro, Miguel A; Fontaine, Jean F

    2014-07-01

    The PubMed® database of biomedical citations allows the retrieval of scientific articles studying the function of chemicals in biology and medicine. Mining millions of available citations to search reported associations between chemicals and topics of interest would require substantial human time. We have implemented the Alkemio text mining web tool and SOAP web service to help in this task. The tool uses biomedical articles discussing chemicals (including drugs), predicts their relatedness to the query topic with a naïve Bayesian classifier and ranks all chemicals by P-values computed from random simulations. Benchmarks on seven human pathways showed good retrieval performance (areas under the receiver operating characteristic curves ranged from 73.6 to 94.5%). Comparison with existing tools to retrieve chemicals associated to eight diseases showed the higher precision and recall of Alkemio when considering the top 10 candidate chemicals. Alkemio is a high performing web tool ranking chemicals for any biomedical topics and it is free to non-commercial users. http://cbdm.mdc-berlin.de/∼medlineranker/cms/alkemio. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

  16. caGrid 1.0: an enterprise Grid infrastructure for biomedical research.

    PubMed

    Oster, Scott; Langella, Stephen; Hastings, Shannon; Ervin, David; Madduri, Ravi; Phillips, Joshua; Kurc, Tahsin; Siebenlist, Frank; Covitz, Peter; Shanbhag, Krishnakant; Foster, Ian; Saltz, Joel

    2008-01-01

    To develop software infrastructure that will provide support for discovery, characterization, integrated access, and management of diverse and disparate collections of information sources, analysis methods, and applications in biomedical research. An enterprise Grid software infrastructure, called caGrid version 1.0 (caGrid 1.0), has been developed as the core Grid architecture of the NCI-sponsored cancer Biomedical Informatics Grid (caBIG) program. It is designed to support a wide range of use cases in basic, translational, and clinical research, including 1) discovery, 2) integrated and large-scale data analysis, and 3) coordinated study. The caGrid is built as a Grid software infrastructure and leverages Grid computing technologies and the Web Services Resource Framework standards. It provides a set of core services, toolkits for the development and deployment of new community provided services, and application programming interfaces for building client applications. The caGrid 1.0 was released to the caBIG community in December 2006. It is built on open source components and caGrid source code is publicly and freely available under a liberal open source license. The core software, associated tools, and documentation can be downloaded from the following URL: https://cabig.nci.nih.gov/workspaces/Architecture/caGrid. While caGrid 1.0 is designed to address use cases in cancer research, the requirements associated with discovery, analysis and integration of large scale data, and coordinated studies are common in other biomedical fields. In this respect, caGrid 1.0 is the realization of a framework that can benefit the entire biomedical community.

  17. País de gordos/país de muertos: Obesity, death and nation in biomedical and forensic genetics in Mexico.

    PubMed

    García-Deister, Vivette; López-Beltrán, Carlos

    2015-12-01

    This article provides a comparison between genomic medicine and forensic genetics in Mexico, in light of recent depictions of the nation as a 'país de gordos' (country of the fat) and a 'país de muertos' (country of the dead). We examine the continuities and ruptures in the public image of genetics in these two areas of attention, health and security, focusing especially on how the relevant publics of genetic science are assembled in each case. Publics of biomedical and forensic genetics are assembled through processes of recruitment and interpellation, in ways that modulate current theorizations of co-production. The comparison also provides a vista onto discussions regarding the involvement of genetics in regimes of governance and citizenship and about the relationship between the state and biopower in a context of perceived health crisis and war-like violence.

  18. Supplying commercial biomedical companies from a human tissue bank in an NHS hospital--a view from personal experience.

    PubMed

    Gray, N; Womack, C; Jack, S J

    1999-04-01

    NHS histopathology laboratories are well placed to develop banks of surgically removed surplus human tissues to meet the increasing demands of commercial biomedical companies. The ultimate aim could be national network of non-profit making NHS tissue banks conforming to national minimum ethical, legal, and quality standards which could be monitored by local research ethics committees. The Nuffield report on bioethics provides ethical and legal guidance but we believe that the patient should be fully informed and the consent given explicit. Setting up a tissue bank requires enthusiasm, hard work, and determination as well as coordination between professionals in the NHS trust and in the commercial sector. The rewards are exiting new collaborations with commercial biomedical companies which could help secure our future.

  19. Localization and Tracking of Implantable Biomedical Sensors

    PubMed Central

    Umay, Ilknur; Fidan, Barış; Barshan, Billur

    2017-01-01

    Implantable sensor systems are effective tools for biomedical diagnosis, visualization and treatment of various health conditions, attracting the interest of researchers, as well as healthcare practitioners. These systems efficiently and conveniently provide essential data of the body part being diagnosed, such as gastrointestinal (temperature, pH, pressure) parameter values, blood glucose and pressure levels and electrocardiogram data. Such data are first transmitted from the implantable sensor units to an external receiver node or network and then to a central monitoring and control (computer) unit for analysis, diagnosis and/or treatment. Implantable sensor units are typically in the form of mobile microrobotic capsules or implanted stationary (body-fixed) units. In particular, capsule-based systems have attracted significant research interest recently, with a variety of applications, including endoscopy, microsurgery, drug delivery and biopsy. In such implantable sensor systems, one of the most challenging problems is the accurate localization and tracking of the microrobotic sensor unit (e.g., robotic capsule) inside the human body. This article presents a literature review of the existing localization and tracking techniques for robotic implantable sensor systems with their merits and limitations and possible solutions of the proposed localization methods. The article also provides a brief discussion on the connection and cooperation of such techniques with wearable biomedical sensor systems. PMID:28335384

  20. A Brief History of Biomedical Research Ethics in Iran: Conflict of Paradigms.

    PubMed

    Aramesh, Kiarash

    2015-08-01

    During the past two decades, Iran has experienced a noteworthy growth in its biomedical research sector. At the same time, ethical concerns and debates resulting from this burgeoning enterprise has led to increasing attention paid to biomedical ethics. In Iran, Biomedical research ethics and research oversight passed through major periods during the past decades, separated by a paradigm shift. Period 1, starting from the early 1970s, is characterized by research paternalism and complete reliance on researchers as virtuous and caring physicians. This approach was in concordance with the paternalistic clinical practice of physicians outside of research settings during the same period. Period 2, starting from the late 1990s, was partly due to revealing of ethical flaws that occurred in biomedical research in Iran. The regulatory and funding bodies concluded that it was not sufficient to rely solely on the personal and professional virtues of researchers to safeguard human subjects' rights and welfare. The necessity for independent oversight, emphasized by international declarations, became obvious and undeniable. This paradigm shift led to the establishment of research ethics committees throughout the country, the establishment of academic research centers focusing on medical ethics (MEHR) and the compilation of the first set of national ethical guidelines on biomedical research-one of the first and most important projects conducted by and in the MEHR. Although not yet arrived, 'period 3' is on its way. It is predictable from the obvious trends toward performance of high-quality clinical research and the appearance of a highly educated new generation, especially among women. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.

  1. Tackling the challenges of matching biomedical ontologies.

    PubMed

    Faria, Daniel; Pesquita, Catia; Mott, Isabela; Martins, Catarina; Couto, Francisco M; Cruz, Isabel F

    2018-01-15

    Biomedical ontologies pose several challenges to ontology matching due both to the complexity of the biomedical domain and to the characteristics of the ontologies themselves. The biomedical tracks in the Ontology Matching Evaluation Initiative (OAEI) have spurred the development of matching systems able to tackle these challenges, and benchmarked their general performance. In this study, we dissect the strategies employed by matching systems to tackle the challenges of matching biomedical ontologies and gauge the impact of the challenges themselves on matching performance, using the AgreementMakerLight (AML) system as the platform for this study. We demonstrate that the linear complexity of the hash-based searching strategy implemented by most state-of-the-art ontology matching systems is essential for matching large biomedical ontologies efficiently. We show that accounting for all lexical annotations (e.g., labels and synonyms) in biomedical ontologies leads to a substantial improvement in F-measure over using only the primary name, and that accounting for the reliability of different types of annotations generally also leads to a marked improvement. Finally, we show that cross-references are a reliable source of information and that, when using biomedical ontologies as background knowledge, it is generally more reliable to use them as mediators than to perform lexical expansion. We anticipate that translating traditional matching algorithms to the hash-based searching paradigm will be a critical direction for the future development of the field. Improving the evaluation carried out in the biomedical tracks of the OAEI will also be important, as without proper reference alignments there is only so much that can be ascertained about matching systems or strategies. Nevertheless, it is clear that, to tackle the various challenges posed by biomedical ontologies, ontology matching systems must be able to efficiently combine multiple strategies into a mature matching

  2. How to locate & hire clinical/biomedical engineers, supervisors, managers & biomedical equipment technicians.

    PubMed

    Pacela, A F; Brush, L C

    1993-01-01

    This article has described the process and the resources available for locating and hiring clinical/biomedical engineers, supervisors, managers, and biomedical equipment technicians. First, the employer must determine the qualifications for the position, including job titles, descriptions, pay scales, and certification requirements. Next, the employer must find qualified applicants. The most common way to do this is to use "outside" contacts, such as help-wanted advertising, specialized job placement agencies, schools and colleges, military resources, regional biomedical societies, and nationwide societies. An "inside" search involves limited internal advertising of the position and using personal referrals for candidates. Finally, the employer must screen the applicants. The position description is the obvious first step in this process, but there are other pre-screening techniques, such as employment testing. Interviewing is the most common way to hire for job positions, but the interviewer needs to know about the position and ask the right questions. Post-interview screening is a final step to help determine the best job-person match.

  3. Special Issue: 3D Printing for Biomedical Engineering

    PubMed Central

    Chua, Chee Kai; Yeong, Wai Yee; An, Jia

    2017-01-01

    Three-dimensional (3D) printing has a long history of applications in biomedical engineering. The development and expansion of traditional biomedical applications are being advanced and enriched by new printing technologies. New biomedical applications such as bioprinting are highly attractive and trendy. This Special Issue aims to provide readers with a glimpse of the recent profile of 3D printing in biomedical research. PMID:28772604

  4. Clique-based data mining for related genes in a biomedical database.

    PubMed

    Matsunaga, Tsutomu; Yonemori, Chikara; Tomita, Etsuji; Muramatsu, Masaaki

    2009-07-01

    Progress in the life sciences cannot be made without integrating biomedical knowledge on numerous genes in order to help formulate hypotheses on the genetic mechanisms behind various biological phenomena, including diseases. There is thus a strong need for a way to automatically and comprehensively search from biomedical databases for related genes, such as genes in the same families and genes encoding components of the same pathways. Here we address the extraction of related genes by searching for densely-connected subgraphs, which are modeled as cliques, in a biomedical relational graph. We constructed a graph whose nodes were gene or disease pages, and edges were the hyperlink connections between those pages in the Online Mendelian Inheritance in Man (OMIM) database. We obtained over 20,000 sets of related genes (called 'gene modules') by enumerating cliques computationally. The modules included genes in the same family, genes for proteins that form a complex, and genes for components of the same signaling pathway. The results of experiments using 'metabolic syndrome'-related gene modules show that the gene modules can be used to get a coherent holistic picture helpful for interpreting relations among genes. We presented a data mining approach extracting related genes by enumerating cliques. The extracted gene sets provide a holistic picture useful for comprehending complex disease mechanisms.

  5. A survey of quality assurance practices in biomedical open source software projects.

    PubMed

    Koru, Günes; El Emam, Khaled; Neisa, Angelica; Umarji, Medha

    2007-05-07

    Open source (OS) software is continuously gaining recognition and use in the biomedical domain, for example, in health informatics and bioinformatics. Given the mission critical nature of applications in this domain and their potential impact on patient safety, it is important to understand to what degree and how effectively biomedical OS developers perform standard quality assurance (QA) activities such as peer reviews and testing. This would allow the users of biomedical OS software to better understand the quality risks, if any, and the developers to identify process improvement opportunities to produce higher quality software. A survey of developers working on biomedical OS projects was conducted to examine the QA activities that are performed. We took a descriptive approach to summarize the implementation of QA activities and then examined some of the factors that may be related to the implementation of such practices. Our descriptive results show that 63% (95% CI, 54-72) of projects did not include peer reviews in their development process, while 82% (95% CI, 75-89) did include testing. Approximately 74% (95% CI, 67-81) of developers did not have a background in computing, 80% (95% CI, 74-87) were paid for their contributions to the project, and 52% (95% CI, 43-60) had PhDs. A multivariate logistic regression model to predict the implementation of peer reviews was not significant (likelihood ratio test = 16.86, 9 df, P = .051) and neither was a model to predict the implementation of testing (likelihood ratio test = 3.34, 9 df, P = .95). Less attention is paid to peer review than testing. However, the former is a complementary, and necessary, QA practice rather than an alternative. Therefore, one can argue that there are quality risks, at least at this point in time, in transitioning biomedical OS software into any critical settings that may have operational, financial, or safety implications. Developers of biomedical OS applications should invest more effort

  6. NECC 2002: National Educational Computing Conference Proceedings (23rd, San Antonio, Texas, June 17-19, 2002).

    ERIC Educational Resources Information Center

    National Educational Computing Conference.

    The National Educational Computing Conference (NECC) is the largest conference of its kind in the world. This document is the Proceedings from the 23rd annual National Educational Computing Conference (NECC) held in San Antonio, June 17-19, 2002. Included are: general information; schedule of events; evaluation form; and the program. Information…

  7. Reflections on biomedical informatics: from cybernetics to genomic medicine and nanomedicine.

    PubMed

    Maojo, Victor; Kulikowski, Casimir A

    2006-01-01

    Expanding on our previous analysis of Biomedical Informatics (BMI), the present perspective ranges from cybernetics to nanomedicine, based on its scientific, historical, philosophical, theoretical, experimental, and technological aspects as they affect systems developments, simulation and modelling, education, and the impact on healthcare. We then suggest that BMI is still searching for strong basic scientific principles around which it can crystallize. As -omic biological knowledge increasingly impacts the future of medicine, ubiquitous computing and informatics become even more essential, not only for the technological infrastructure, but as a part of the scientific enterprise itself. The Virtual Physiological Human and investigations into nanomedicine will surely produce yet more unpredictable opportunities, leading to significant changes in biomedical research and practice. As a discipline involved in making such advances possible, BMI is likely to need to re-define itself and extend its research horizons to meet the new challenges.

  8. A passage retrieval method based on probabilistic information retrieval model and UMLS concepts in biomedical question answering.

    PubMed

    Sarrouti, Mourad; Ouatik El Alaoui, Said

    2017-04-01

    Passage retrieval, the identification of top-ranked passages that may contain the answer for a given biomedical question, is a crucial component for any biomedical question answering (QA) system. Passage retrieval in open-domain QA is a longstanding challenge widely studied over the last decades. However, it still requires further efforts in biomedical QA. In this paper, we present a new biomedical passage retrieval method based on Stanford CoreNLP sentence/passage length, probabilistic information retrieval (IR) model and UMLS concepts. In the proposed method, we first use our document retrieval system based on PubMed search engine and UMLS similarity to retrieve relevant documents to a given biomedical question. We then take the abstracts from the retrieved documents and use Stanford CoreNLP for sentence splitter to make a set of sentences, i.e., candidate passages. Using stemmed words and UMLS concepts as features for the BM25 model, we finally compute the similarity scores between the biomedical question and each of the candidate passages and keep the N top-ranked ones. Experimental evaluations performed on large standard datasets, provided by the BioASQ challenge, show that the proposed method achieves good performances compared with the current state-of-the-art methods. The proposed method significantly outperforms the current state-of-the-art methods by an average of 6.84% in terms of mean average precision (MAP). We have proposed an efficient passage retrieval method which can be used to retrieve relevant passages in biomedical QA systems with high mean average precision. Copyright © 2017 Elsevier Inc. All rights reserved.

  9. Boosting production yield of biomedical peptides

    NASA Technical Reports Server (NTRS)

    Manatt, S. L.

    1978-01-01

    Nuclear magnetic resonance (NMR) technique is employed to monitor synthesis of biomedical peptides. Application of NMR technique may improve production yields of insulin, ACTH, and growth hormones, as well as other synthesized biomedical peptides.

  10. G-Bean: an ontology-graph based web tool for biomedical literature retrieval.

    PubMed

    Wang, James Z; Zhang, Yuanyuan; Dong, Liang; Li, Lin; Srimani, Pradip K; Yu, Philip S

    2014-01-01

    Currently, most people use NCBI's PubMed to search the MEDLINE database, an important bibliographical information source for life science and biomedical information. However, PubMed has some drawbacks that make it difficult to find relevant publications pertaining to users' individual intentions, especially for non-expert users. To ameliorate the disadvantages of PubMed, we developed G-Bean, a graph based biomedical search engine, to search biomedical articles in MEDLINE database more efficiently. G-Bean addresses PubMed's limitations with three innovations: (1) Parallel document index creation: a multithreaded index creation strategy is employed to generate the document index for G-Bean in parallel; (2) Ontology-graph based query expansion: an ontology graph is constructed by merging four major UMLS (Version 2013AA) vocabularies, MeSH, SNOMEDCT, CSP and AOD, to cover all concepts in National Library of Medicine (NLM) database; a Personalized PageRank algorithm is used to compute concept relevance in this ontology graph and the Term Frequency - Inverse Document Frequency (TF-IDF) weighting scheme is used to re-rank the concepts. The top 500 ranked concepts are selected for expanding the initial query to retrieve more accurate and relevant information; (3) Retrieval and re-ranking of documents based on user's search intention: after the user selects any article from the existing search results, G-Bean analyzes user's selections to determine his/her true search intention and then uses more relevant and more specific terms to retrieve additional related articles. The new articles are presented to the user in the order of their relevance to the already selected articles. Performance evaluation with 106 OHSUMED benchmark queries shows that G-Bean returns more relevant results than PubMed does when using these queries to search the MEDLINE database. PubMed could not even return any search result for some OHSUMED queries because it failed to form the appropriate Boolean

  11. From the NIH: A Systems Approach to Increasing the Diversity of the Biomedical Research Workforce.

    PubMed

    Valantine, Hannah A; Lund, P Kay; Gammie, Alison E

    The National Institutes of Health (NIH) is committed to attracting, developing, and supporting the best scientists from all groups as an integral part of excellence in training. Biomedical research workforce diversity, capitalizing on the full spectrum of skills, talents, and viewpoints, is essential for solving complex human health challenges. Over the past few decades, the biomedical research workforce has benefited from NIH programs aimed at enhancing diversity. However, there is considerable room for improvement, particularly at the level of independent scientists and within scientific leadership. We provide a rationale and specific opportunities to develop and sustain a diverse biomedical research workforce through interventions that promote the successful transitions to different stages on the path toward completion of training and entry into the biomedical workforce. © 2016 H. A. Valantine et al. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  12. Biomedical Knowledge and Clinical Expertise.

    ERIC Educational Resources Information Center

    Boshuizen, Henny P. A.; Schmidt, Henk G.

    A study examined the application and availability of clinical and biomedical knowledge in the clinical reasoning of physicians as well as possible mechanisms responsible for changes in the organization of clinical and biomedical knowledge in the development from novice to expert. Subjects were 28 students (10 second year, 8 fourth year, and 10…

  13. iTools: a framework for classification, categorization and integration of computational biology resources.

    PubMed

    Dinov, Ivo D; Rubin, Daniel; Lorensen, William; Dugan, Jonathan; Ma, Jeff; Murphy, Shawn; Kirschner, Beth; Bug, William; Sherman, Michael; Floratos, Aris; Kennedy, David; Jagadish, H V; Schmidt, Jeanette; Athey, Brian; Califano, Andrea; Musen, Mark; Altman, Russ; Kikinis, Ron; Kohane, Isaac; Delp, Scott; Parker, D Stott; Toga, Arthur W

    2008-05-28

    The advancement of the computational biology field hinges on progress in three fundamental directions--the development of new computational algorithms, the availability of informatics resource management infrastructures and the capability of tools to interoperate and synergize. There is an explosion in algorithms and tools for computational biology, which makes it difficult for biologists to find, compare and integrate such resources. We describe a new infrastructure, iTools, for managing the query, traversal and comparison of diverse computational biology resources. Specifically, iTools stores information about three types of resources--data, software tools and web-services. The iTools design, implementation and resource meta-data content reflect the broad research, computational, applied and scientific expertise available at the seven National Centers for Biomedical Computing. iTools provides a system for classification, categorization and integration of different computational biology resources across space-and-time scales, biomedical problems, computational infrastructures and mathematical foundations. A large number of resources are already iTools-accessible to the community and this infrastructure is rapidly growing. iTools includes human and machine interfaces to its resource meta-data repository. Investigators or computer programs may utilize these interfaces to search, compare, expand, revise and mine meta-data descriptions of existent computational biology resources. We propose two ways to browse and display the iTools dynamic collection of resources. The first one is based on an ontology of computational biology resources, and the second one is derived from hyperbolic projections of manifolds or complex structures onto planar discs. iTools is an open source project both in terms of the source code development as well as its meta-data content. iTools employs a decentralized, portable, scalable and lightweight framework for long-term resource management

  14. iTools: A Framework for Classification, Categorization and Integration of Computational Biology Resources

    PubMed Central

    Dinov, Ivo D.; Rubin, Daniel; Lorensen, William; Dugan, Jonathan; Ma, Jeff; Murphy, Shawn; Kirschner, Beth; Bug, William; Sherman, Michael; Floratos, Aris; Kennedy, David; Jagadish, H. V.; Schmidt, Jeanette; Athey, Brian; Califano, Andrea; Musen, Mark; Altman, Russ; Kikinis, Ron; Kohane, Isaac; Delp, Scott; Parker, D. Stott; Toga, Arthur W.

    2008-01-01

    The advancement of the computational biology field hinges on progress in three fundamental directions – the development of new computational algorithms, the availability of informatics resource management infrastructures and the capability of tools to interoperate and synergize. There is an explosion in algorithms and tools for computational biology, which makes it difficult for biologists to find, compare and integrate such resources. We describe a new infrastructure, iTools, for managing the query, traversal and comparison of diverse computational biology resources. Specifically, iTools stores information about three types of resources–data, software tools and web-services. The iTools design, implementation and resource meta - data content reflect the broad research, computational, applied and scientific expertise available at the seven National Centers for Biomedical Computing. iTools provides a system for classification, categorization and integration of different computational biology resources across space-and-time scales, biomedical problems, computational infrastructures and mathematical foundations. A large number of resources are already iTools-accessible to the community and this infrastructure is rapidly growing. iTools includes human and machine interfaces to its resource meta-data repository. Investigators or computer programs may utilize these interfaces to search, compare, expand, revise and mine meta-data descriptions of existent computational biology resources. We propose two ways to browse and display the iTools dynamic collection of resources. The first one is based on an ontology of computational biology resources, and the second one is derived from hyperbolic projections of manifolds or complex structures onto planar discs. iTools is an open source project both in terms of the source code development as well as its meta-data content. iTools employs a decentralized, portable, scalable and lightweight framework for long-term resource

  15. The SWAN biomedical discourse ontology.

    PubMed

    Ciccarese, Paolo; Wu, Elizabeth; Wong, Gwen; Ocana, Marco; Kinoshita, June; Ruttenberg, Alan; Clark, Tim

    2008-10-01

    Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context. Our ability to exchange such information across sub-specialties today is limited by the current scientific knowledge ecosystem's inability to properly contextualize and integrate data and discourse in machine-interpretable form. This inherently limits the productivity of research and the progress toward cures for devastating diseases such as Alzheimer's and Parkinson's. SWAN (Semantic Web Applications in Neuromedicine) is an interdisciplinary project to develop a practical, common, semantically structured, framework for biomedical discourse initially applied, but not limited, to significant problems in Alzheimer Disease (AD) research. The SWAN ontology has been developed in the context of building a series of applications for biomedical researchers, as well as in extensive discussions and collaborations with the larger bio-ontologies community. In this paper, we present and discuss the SWAN ontology of biomedical discourse. We ground its development theoretically, present its design approach, explain its main classes and their application, and show its relationship to other ongoing activities in biomedicine and bio-ontologies.

  16. Biomedical Publishing and the Internet

    PubMed Central

    Jacobson, Michael W.

    2000-01-01

    The Internet is challenging traditional publishing patterns. In the biomedical domain, medical journals are providing more and more content online, both free and for a fee. Beyond this, however, a number of commentators believe that traditional notions of copyright and intellectual property ownership are no longer suited to the information age and that ownership of copyright to research reports should be and will be wrested from publishers and returned to authors. In this paper, it is argued that, although the Internet will indeed profoundly affect the distribution of biomedical research results, the biomedical publishing industry is too intertwined with the research establishment and too powerful to fall prey to such a copyright revolution. PMID:10833159

  17. The University of Connecticut Biomedical Engineering Mentoring Program for high school students.

    PubMed

    Enderle, John D; Liebler, Christopher M; Haapala, Stephenic A; Hart, James L; Thonakkaraparayil, Naomi T; Romonosky, Laura L; Rodriguez, Francisco; Trumbower, Randy D

    2004-01-01

    For the past four years, the Biomedical Engineering Program at the University of Connecticut has offered a summer mentoring program for high school students interested in biomedical engineering. To offer this program, we have partnered with the UConn Mentor Connection Program, the School of Engineering 2000 Program and the College of Liberal Arts and Sciences Summer Laboratory Apprentice Program. We typically have approximately 20-25 high school students learning about biomedical engineering each summer. The mentoring aspect of the program exists at many different levels, with the graduate students mentoring the undergraduate students, and these students mentoring the high school students. The program starts with a three-hour lecture on biomedical engineering to properly orient the students. An in-depth paper on an area in biomedical engineering is a required component, as well as a PowerPoint presentation on their research. All of the students build a device to record an EKG on a computer using LabView, including signal processing to remove noise. The students learn some rudimentary concepts on electrocardiography and the physiology and anatomy of the heart. The students also learn basic electronics and breadboarding circuits, PSpice, the building of a printed circuit board, PIC microcontroller, the operation of Multimeters (including the oscilloscope), soldering, assembly of the EKG device and writing LabView code to run their device on a PC. The students keep their EKG device, LabView program and a fully illustrated booklet on EKG to bring home with them, and hopefully bring back to their high school to share their experiences with other students and teachers. The students also work on several other projects during this summer experience as well as visit Hartford Hospital to learn about Clinical Engineering.

  18. For 481 biomedical open access journals, articles are not searchable in the Directory of Open Access Journals nor in conventional biomedical databases

    PubMed Central

    Andresen, Kristoffer; Pommergaard, Hans-Christian; Rosenberg, Jacob

    2015-01-01

    Background. Open access (OA) journals allows access to research papers free of charge to the reader. Traditionally, biomedical researchers use databases like MEDLINE and EMBASE to discover new advances. However, biomedical OA journals might not fulfill such databases’ criteria, hindering dissemination. The Directory of Open Access Journals (DOAJ) is a database exclusively listing OA journals. The aim of this study was to investigate DOAJ’s coverage of biomedical OA journals compared with the conventional biomedical databases. Methods. Information on all journals listed in four conventional biomedical databases (MEDLINE, PubMed Central, EMBASE and SCOPUS) and DOAJ were gathered. Journals were included if they were (1) actively publishing, (2) full OA, (3) prospectively indexed in one or more database, and (4) of biomedical subject. Impact factor and journal language were also collected. DOAJ was compared with conventional databases regarding the proportion of journals covered, along with their impact factor and publishing language. The proportion of journals with articles indexed by DOAJ was determined. Results. In total, 3,236 biomedical OA journals were included in the study. Of the included journals, 86.7% were listed in DOAJ. Combined, the conventional biomedical databases listed 75.0% of the journals; 18.7% in MEDLINE; 36.5% in PubMed Central; 51.5% in SCOPUS and 50.6% in EMBASE. Of the journals in DOAJ, 88.7% published in English and 20.6% had received impact factor for 2012 compared with 93.5% and 26.0%, respectively, for journals in the conventional biomedical databases. A subset of 51.1% and 48.5% of the journals in DOAJ had articles indexed from 2012 and 2013, respectively. Of journals exclusively listed in DOAJ, one journal had received an impact factor for 2012, and 59.6% of the journals had no content from 2013 indexed in DOAJ. Conclusions. DOAJ is the most complete registry of biomedical OA journals compared with five conventional biomedical

  19. For 481 biomedical open access journals, articles are not searchable in the Directory of Open Access Journals nor in conventional biomedical databases.

    PubMed

    Liljekvist, Mads Svane; Andresen, Kristoffer; Pommergaard, Hans-Christian; Rosenberg, Jacob

    2015-01-01

    Background. Open access (OA) journals allows access to research papers free of charge to the reader. Traditionally, biomedical researchers use databases like MEDLINE and EMBASE to discover new advances. However, biomedical OA journals might not fulfill such databases' criteria, hindering dissemination. The Directory of Open Access Journals (DOAJ) is a database exclusively listing OA journals. The aim of this study was to investigate DOAJ's coverage of biomedical OA journals compared with the conventional biomedical databases. Methods. Information on all journals listed in four conventional biomedical databases (MEDLINE, PubMed Central, EMBASE and SCOPUS) and DOAJ were gathered. Journals were included if they were (1) actively publishing, (2) full OA, (3) prospectively indexed in one or more database, and (4) of biomedical subject. Impact factor and journal language were also collected. DOAJ was compared with conventional databases regarding the proportion of journals covered, along with their impact factor and publishing language. The proportion of journals with articles indexed by DOAJ was determined. Results. In total, 3,236 biomedical OA journals were included in the study. Of the included journals, 86.7% were listed in DOAJ. Combined, the conventional biomedical databases listed 75.0% of the journals; 18.7% in MEDLINE; 36.5% in PubMed Central; 51.5% in SCOPUS and 50.6% in EMBASE. Of the journals in DOAJ, 88.7% published in English and 20.6% had received impact factor for 2012 compared with 93.5% and 26.0%, respectively, for journals in the conventional biomedical databases. A subset of 51.1% and 48.5% of the journals in DOAJ had articles indexed from 2012 and 2013, respectively. Of journals exclusively listed in DOAJ, one journal had received an impact factor for 2012, and 59.6% of the journals had no content from 2013 indexed in DOAJ. Conclusions. DOAJ is the most complete registry of biomedical OA journals compared with five conventional biomedical databases

  20. Liquid Crystals, PIV and IR-Photography in Selected Technical and Biomedical Applications

    NASA Astrophysics Data System (ADS)

    Stasiek, Jan; Jewartowski, Marcin

    2017-10-01

    Thermochromic liquid crystals (TLC), Particle Image Velocimetry (PIV), Infrared Imaging Themography (IR) and True-Colour Digital Image Processing (TDIP) have been successfully used in non-intrusive technical, industrial and biomedical studies and applications. These four tools (based on the desktop computers) have come together during the past two decades to produce a powerful advanced experimental technique as a judgment of quality of information that cannot be obtained from any other imaging procedure. The brief summary of the history of this technique is reviewed, principal methods and tools are described and some examples are presented. With this objective, a new experimental technique have been developed and applied to the study of heat and mass transfer and for biomedical diagnosis. Automated evaluation allows determining the heat and flow visualisation and locate the area of suspicious tissue of human body.

  1. A comparative analysis of biomedical research ethics regulation systems in Europe and Latin America with regard to the protection of human subjects.

    PubMed

    Lamas, Eugenia; Ferrer, Marcela; Molina, Alberto; Salinas, Rodrigo; Hevia, Adriana; Bota, Alexandre; Feinholz, Dafna; Fuchs, Michael; Schramm, Roland; Tealdi, Juan-Carlos; Zorrilla, Sergio

    2010-12-01

    The European project European and Latin American Systems of Ethics Regulation of Biomedical Research Project (EULABOR) has carried out the first comparative analysis of ethics regulation systems for biomedical research in seven countries in Europe and Latin America, evaluating their roles in the protection of human subjects. We developed a conceptual and methodological framework defining 'ethics regulation system for biomedical research' as a set of actors, institutions, codes and laws involved in overseeing the ethics of biomedical research on humans. This framework allowed us to develop comprehensive national reports by conducting semi-structured interviews to key informants. These reports were summarised and analysed in a comparative analysis. The study showed that the regulatory framework for clinical research in these countries differ in scope. It showed that despite the different political contexts, actors involved and motivations for creating the regulation, in most of the studied countries it was the government who took the lead in setting up the system. The study also showed that Europe and Latin America are similar regarding national bodies and research ethics committees, but the Brazilian system has strong and noteworthy specificities.

  2. Accelerating Biomedical Discoveries through Rigor and Transparency.

    PubMed

    Hewitt, Judith A; Brown, Liliana L; Murphy, Stephanie J; Grieder, Franziska; Silberberg, Shai D

    2017-07-01

    Difficulties in reproducing published research findings have garnered a lot of press in recent years. As a funder of biomedical research, the National Institutes of Health (NIH) has taken measures to address underlying causes of low reproducibility. Extensive deliberations resulted in a policy, released in 2015, to enhance reproducibility through rigor and transparency. We briefly explain what led to the policy, describe its elements, provide examples and resources for the biomedical research community, and discuss the potential impact of the policy on translatability with a focus on research using animal models. Importantly, while increased attention to rigor and transparency may lead to an increase in the number of laboratory animals used in the near term, it will lead to more efficient and productive use of such resources in the long run. The translational value of animal studies will be improved through more rigorous assessment of experimental variables and data, leading to better assessments of the translational potential of animal models, for the benefit of the research community and society. Published by Oxford University Press on behalf of the Institute for Laboratory Animal Research 2017. This work is written by (a) US Government employee(s) and is in the public domain in the US.

  3. Computer usage and national energy consumption: Results from a field-metering study

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Desroches, Louis-Benoit; Fuchs, Heidi; Greenblatt, Jeffery

    The electricity consumption of miscellaneous electronic loads (MELs) in the home has grown in recent years, and is expected to continue rising. Consumer electronics, in particular, are characterized by swift technological innovation, with varying impacts on energy use. Desktop and laptop computers make up a significant share of MELs electricity consumption, but their national energy use is difficult to estimate, given uncertainties around shifting user behavior. This report analyzes usage data from 64 computers (45 desktop, 11 laptop, and 8 unknown) collected in 2012 as part of a larger field monitoring effort of 880 households in the San Francisco Baymore » Area, and compares our results to recent values from the literature. We find that desktop computers are used for an average of 7.3 hours per day (median = 4.2 h/d), while laptops are used for a mean 4.8 hours per day (median = 2.1 h/d). The results for laptops are likely underestimated since they can be charged in other, unmetered outlets. Average unit annual energy consumption (AEC) for desktops is estimated to be 194 kWh/yr (median = 125 kWh/yr), and for laptops 75 kWh/yr (median = 31 kWh/yr). We estimate national annual energy consumption for desktop computers to be 20 TWh. National annual energy use for laptops is estimated to be 11 TWh, markedly higher than previous estimates, likely reflective of laptops drawing more power in On mode in addition to greater market penetration. This result for laptops, however, carries relatively higher uncertainty compared to desktops. Different study methodologies and definitions, changing usage patterns, and uncertainty about how consumers use computers must be considered when interpreting our results with respect to existing analyses. Finally, as energy consumption in On mode is predominant, we outline several energy savings opportunities: improved power management (defaulting to low-power modes after periods of inactivity as well as power scaling), matching the rated

  4. Monte Carlo based investigation of berry phase for depth resolved characterization of biomedical scattering samples

    NASA Astrophysics Data System (ADS)

    Baba, J. S.; Koju, V.; John, D.

    2015-03-01

    The propagation of light in turbid media is an active area of research with relevance to numerous investigational fields, e.g., biomedical diagnostics and therapeutics. The statistical random-walk nature of photon propagation through turbid media is ideal for computational based modeling and simulation. Ready access to super computing resources provide a means for attaining brute force solutions to stochastic light-matter interactions entailing scattering by facilitating timely propagation of sufficient (>107) photons while tracking characteristic parameters based on the incorporated physics of the problem. One such model that works well for isotropic but fails for anisotropic scatter, which is the case for many biomedical sample scattering problems, is the diffusion approximation. In this report, we address this by utilizing Berry phase (BP) evolution as a means for capturing anisotropic scattering characteristics of samples in the preceding depth where the diffusion approximation fails. We extend the polarization sensitive Monte Carlo method of Ramella-Roman, et al., to include the computationally intensive tracking of photon trajectory in addition to polarization state at every scattering event. To speed-up the computations, which entail the appropriate rotations of reference frames, the code was parallelized using OpenMP. The results presented reveal that BP is strongly correlated to the photon penetration depth, thus potentiating the possibility of polarimetric depth resolved characterization of highly scattering samples, e.g., biological tissues.

  5. Liberty to decide on dual use biomedical research: an acknowledged necessity.

    PubMed

    Keuleyan, Emma

    2010-03-01

    Humanity entered the twenty-first century with revolutionary achievements in biomedical research. At the same time multiple "dual-use" results have been published. The battle against infectious diseases is meeting new challenges, with newly emerging and re-emerging infections. Both natural disaster epidemics, such as SARS, avian influenza, haemorrhagic fevers, XDR and MDR tuberculosis and many others, and the possibility of intentional mis-use, such as letters containing anthrax spores in USA, 2001, have raised awareness of the real threats. Many great men, including Goethe, Spinoza, J.B. Shaw, Fr. Engels, J.F. Kennedy and others, have recognized that liberty is also a responsibility. That is why the liberty to decide now represents an acknowledged necessity: biomedical research should be supported, conducted and published with appropriate measures to prevent potential "dual use". Biomedical scientists should work according to the ethical principles of their Code of Conduct, an analogue of Hippocrates Oath of doctors; and they should inform government, society and their juniors about the problem. National science consulting boards of experts should be created to prepare guidelines and control the problem at state level. An international board should develop minimum standards to be applicable by each country. Bio-preparedness is considered another key-measure.

  6. National Educational Computing Conference Proceedings (11th, Nashville, Tennessee, June 25-27, 1990).

    ERIC Educational Resources Information Center

    Ellis, Edwin, Ed.

    This volume of proceedings of the 1990 National Educational Computing Conference (NECC) provides a record of the state-of-the-art in the use of computing in a variety of educational settings. Special sessions, panels, projects, 153 abstracts, and 44 papers are reported here on subjects including: elementary and secondary educational software,…

  7. Current Status of Biomedical Book Reviewing: Part I. Key Biomedical Reviewing Journals with Quantitative Significance

    PubMed Central

    Chen, Ching-Chih; Wright, Arthuree M.

    1974-01-01

    This is the first part of a comprehensive, quantitative study of biomedical book reviewing. The data base of the total project was built from statistics taken from all 1970 issues of biomedical journals held in the Science Library of the Massachusetts Institute of Technology. Of 285 so-called “life sciences” journals held by that library, fifty-four English journals (excluding Science and Nature) were found to contain bona fide book reviews (as contrasted with mere author-title lists) and were therefore selected for close study. The statistical results reveal that there were 3,347 reviews of 2,067 biomedical books in these fifty-four selected journals in 1970. Part I of the study identifies key biomedical reviewing journals of quantitative significance. The top ten journals, British Medical Journal, Lancet, Annals of Internal Medicine, Journal of the American Medical Association, Archives of Internal Medicine, New England Journal of Medicine, Quarterly Review of Biology, Bioscience, Canadian Medical Association Journal,* and American Journal of the Medical Sciences, accounted for 63.03% of the total number of reviews in 1970. PMID:4826479

  8. The Unified Medical Language System (UMLS): integrating biomedical terminology

    PubMed Central

    Bodenreider, Olivier

    2004-01-01

    The Unified Medical Language System (http://umlsks.nlm.nih.gov) is a repository of biomedical vocabularies developed by the US National Library of Medicine. The UMLS integrates over 2 million names for some 900 000 concepts from more than 60 families of biomedical vocabularies, as well as 12 million relations among these concepts. Vocabularies integrated in the UMLS Metathesaurus include the NCBI taxonomy, Gene Ontology, the Medical Subject Headings (MeSH), OMIM and the Digital Anatomist Symbolic Knowledge Base. UMLS concepts are not only inter-related, but may also be linked to external resources such as GenBank. In addition to data, the UMLS includes tools for customizing the Metathesaurus (MetamorphoSys), for generating lexical variants of concept names (lvg) and for extracting UMLS concepts from text (MetaMap). The UMLS knowledge sources are updated quarterly. All vocabularies are available at no fee for research purposes within an institution, but UMLS users are required to sign a license agreement. The UMLS knowledge sources are distributed on CD-ROM and by FTP. PMID:14681409

  9. The Unified Medical Language System (UMLS): integrating biomedical terminology.

    PubMed

    Bodenreider, Olivier

    2004-01-01

    The Unified Medical Language System (http://umlsks.nlm.nih.gov) is a repository of biomedical vocabularies developed by the US National Library of Medicine. The UMLS integrates over 2 million names for some 900,000 concepts from more than 60 families of biomedical vocabularies, as well as 12 million relations among these concepts. Vocabularies integrated in the UMLS Metathesaurus include the NCBI taxonomy, Gene Ontology, the Medical Subject Headings (MeSH), OMIM and the Digital Anatomist Symbolic Knowledge Base. UMLS concepts are not only inter-related, but may also be linked to external resources such as GenBank. In addition to data, the UMLS includes tools for customizing the Metathesaurus (MetamorphoSys), for generating lexical variants of concept names (lvg) and for extracting UMLS concepts from text (MetaMap). The UMLS knowledge sources are updated quarterly. All vocabularies are available at no fee for research purposes within an institution, but UMLS users are required to sign a license agreement. The UMLS knowledge sources are distributed on CD-ROM and by FTP.

  10. Graph-based word sense disambiguation of biomedical documents.

    PubMed

    Agirre, Eneko; Soroa, Aitor; Stevenson, Mark

    2010-11-15

    Word Sense Disambiguation (WSD), automatically identifying the meaning of ambiguous words in context, is an important stage of text processing. This article presents a graph-based approach to WSD in the biomedical domain. The method is unsupervised and does not require any labeled training data. It makes use of knowledge from the Unified Medical Language System (UMLS) Metathesaurus which is represented as a graph. A state-of-the-art algorithm, Personalized PageRank, is used to perform WSD. When evaluated on the NLM-WSD dataset, the algorithm outperforms other methods that rely on the UMLS Metathesaurus alone. The WSD system is open source licensed and available from http://ixa2.si.ehu.es/ukb/. The UMLS, MetaMap program and NLM-WSD corpus are available from the National Library of Medicine https://www.nlm.nih.gov/research/umls/, http://mmtx.nlm.nih.gov and http://wsd.nlm.nih.gov. Software to convert the NLM-WSD corpus into a format that can be used by our WSD system is available from http://www.dcs.shef.ac.uk/∼marks/biomedical_wsd under open source license.

  11. Enhancing biomedical design with design thinking.

    PubMed

    Kemnitzer, Ronald; Dorsa, Ed

    2009-01-01

    The development of biomedical equipment is justifiably focused on making products that "work." However, this approach leaves many of the people affected by these designs (operators, patients, etc.) with little or no representation when it comes to the design of these products. Industrial design is a "user focused" profession which takes into account the needs of diverse groups when making design decisions. The authors propose that biomedical equipment design can be enhanced, made more user and patient "friendly" by adopting the industrial design approach to researching, analyzing, and ultimately designing biomedical products.

  12. The development of biomedical engineering as experienced by one biomedical engineer

    PubMed Central

    2012-01-01

    This personal essay described the development of the field of Biomedical Engineering from its early days, from the perspective of one who lived through that development. It describes the making of a major invention using data that had been rejected by other scientists, the re-discovery of an obscure fact of physiology and its use in developing a major medical instrument, the development of a new medical imaging modality, and the near-death rescue of a research project. The essay concludes with comments about the development and present status of impedance imaging, and recent changes in the evolution of biomedical engineering as a field. PMID:23234267

  13. The development of biomedical engineering as experienced by one biomedical engineer.

    PubMed

    Newell, Jonathan C

    2012-12-12

    This personal essay described the development of the field of Biomedical Engineering from its early days, from the perspective of one who lived through that development. It describes the making of a major invention using data that had been rejected by other scientists, the re-discovery of an obscure fact of physiology and its use in developing a major medical instrument, the development of a new medical imaging modality, and the near-death rescue of a research project. The essay concludes with comments about the development and present status of impedance imaging, and recent changes in the evolution of biomedical engineering as a field.

  14. País de gordos/país de muertos: Obesity, death and nation in biomedical and forensic genetics in Mexico

    PubMed Central

    García-Deister, Vivette; López-Beltrán, Carlos

    2015-01-01

    This article provides a comparison between genomic medicine and forensic genetics in Mexico, in light of recent depictions of the nation as a ‘país de gordos’ (country of the fat) and a ‘país de muertos’ (country of the dead). We examine the continuities and ruptures in the public image of genetics in these two areas of attention, health and security, focusing especially on how the relevant publics of genetic science are assembled in each case. Publics of biomedical and forensic genetics are assembled through processes of recruitment and interpellation, in ways that modulate current theorizations of co-production. The comparison also provides a vista onto discussions regarding the involvement of genetics in regimes of governance and citizenship and about the relationship between the state and biopower in a context of perceived health crisis and war-like violence. PMID:27479997

  15. caGrid 1.0: An Enterprise Grid Infrastructure for Biomedical Research

    PubMed Central

    Oster, Scott; Langella, Stephen; Hastings, Shannon; Ervin, David; Madduri, Ravi; Phillips, Joshua; Kurc, Tahsin; Siebenlist, Frank; Covitz, Peter; Shanbhag, Krishnakant; Foster, Ian; Saltz, Joel

    2008-01-01

    Objective To develop software infrastructure that will provide support for discovery, characterization, integrated access, and management of diverse and disparate collections of information sources, analysis methods, and applications in biomedical research. Design An enterprise Grid software infrastructure, called caGrid version 1.0 (caGrid 1.0), has been developed as the core Grid architecture of the NCI-sponsored cancer Biomedical Informatics Grid (caBIG™) program. It is designed to support a wide range of use cases in basic, translational, and clinical research, including 1) discovery, 2) integrated and large-scale data analysis, and 3) coordinated study. Measurements The caGrid is built as a Grid software infrastructure and leverages Grid computing technologies and the Web Services Resource Framework standards. It provides a set of core services, toolkits for the development and deployment of new community provided services, and application programming interfaces for building client applications. Results The caGrid 1.0 was released to the caBIG community in December 2006. It is built on open source components and caGrid source code is publicly and freely available under a liberal open source license. The core software, associated tools, and documentation can be downloaded from the following URL: https://cabig.nci.nih.gov/workspaces/Architecture/caGrid. Conclusions While caGrid 1.0 is designed to address use cases in cancer research, the requirements associated with discovery, analysis and integration of large scale data, and coordinated studies are common in other biomedical fields. In this respect, caGrid 1.0 is the realization of a framework that can benefit the entire biomedical community. PMID:18096909

  16. An evaluative conservative case for biomedical enhancement.

    PubMed

    Danaher, John

    2016-09-01

    It is widely believed that a conservative moral outlook is opposed to biomedical forms of human enhancement. In this paper, I argue that this widespread belief is incorrect. Using Cohen's evaluative conservatism as my starting point, I argue that there are strong conservative reasons to prioritise the development of biomedical enhancements. In particular, I suggest that biomedical enhancement may be essential if we are to maintain our current evaluative equilibrium (ie, the set of values that undergird and permeate our current political, economic and personal lives) against the threats to that equilibrium posed by external, non-biomedical forms of enhancement. I defend this view against modest conservatives who insist that biomedical enhancements pose a greater risk to our current evaluative equilibrium, and against those who see no principled distinction between the forms of human enhancement. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  17. Relational Databases and Biomedical Big Data.

    PubMed

    de Silva, N H Nisansa D

    2017-01-01

    In various biomedical applications that collect, handle, and manipulate data, the amounts of data tend to build up and venture into the range identified as bigdata. In such occurrences, a design decision has to be taken as to what type of database would be used to handle this data. More often than not, the default and classical solution to this in the biomedical domain according to past research is relational databases. While this used to be the norm for a long while, it is evident that there is a trend to move away from relational databases in favor of other types and paradigms of databases. However, it still has paramount importance to understand the interrelation that exists between biomedical big data and relational databases. This chapter will review the pros and cons of using relational databases to store biomedical big data that previous researches have discussed and used.

  18. A Computerized English-Spanish Correlation Index to Five Biomedical Library Classification Schemes Based on MeSH*

    PubMed Central

    Muench, Eugene V.

    1971-01-01

    A computerized English/Spanish correlation index to five biomedical library classification schemes and a computerized English/Spanish, Spanish/English listings of MeSH are described. The index was accomplished by supplying appropriate classification numbers of five classification schemes (National Library of Medicine; Library of Congress; Dewey Decimal; Cunningham; Boston Medical) to MeSH and a Spanish translation of MeSH The data were keypunched, merged on magnetic tape, and sorted in a computer alphabetically by English and Spanish subject headings and sequentially by classification number. Some benefits and uses of the index are: a complete index to classification schemes based on MeSH terms; a tool for conversion of classification numbers when reclassifying collections; a Spanish index and a crude Spanish translation of five classification schemes; a data base for future applications, e.g., automatic classification. Other classification schemes, such as the UDC, and translations of MeSH into other languages can be added. PMID:5172471

  19. Optimizing biomedical science learning in a veterinary curriculum: a review.

    PubMed

    Warren, Amy L; Donnon, Tyrone

    2013-01-01

    As veterinary medical curricula evolve, the time dedicated to biomedical science teaching, as well as the role of biomedical science knowledge in veterinary education, has been scrutinized. Aside from being mandated by accrediting bodies, biomedical science knowledge plays an important role in developing clinical, diagnostic, and therapeutic reasoning skills in the application of clinical skills, in supporting evidence-based veterinary practice and life-long learning, and in advancing biomedical knowledge and comparative medicine. With an increasing volume and fast pace of change in biomedical knowledge, as well as increased demands on curricular time, there has been pressure to make biomedical science education efficient and relevant for veterinary medicine. This has lead to a shift in biomedical education from fact-based, teacher-centered and discipline-based teaching to applicable, student-centered, integrated teaching. This movement is supported by adult learning theories and is thought to enhance students' transference of biomedical science into their clinical practice. The importance of biomedical science in veterinary education and the theories of biomedical science learning will be discussed in this article. In addition, we will explore current advances in biomedical teaching methodologies that are aimed to maximize knowledge retention and application for clinical veterinary training and practice.

  20. An Ontology-Enabled Natural Language Processing Pipeline for Provenance Metadata Extraction from Biomedical Text (Short Paper).

    PubMed

    Valdez, Joshua; Rueschman, Michael; Kim, Matthew; Redline, Susan; Sahoo, Satya S

    2016-10-01

    Extraction of structured information from biomedical literature is a complex and challenging problem due to the complexity of biomedical domain and lack of appropriate natural language processing (NLP) techniques. High quality domain ontologies model both data and metadata information at a fine level of granularity, which can be effectively used to accurately extract structured information from biomedical text. Extraction of provenance metadata, which describes the history or source of information, from published articles is an important task to support scientific reproducibility. Reproducibility of results reported by previous research studies is a foundational component of scientific advancement. This is highlighted by the recent initiative by the US National Institutes of Health called "Principles of Rigor and Reproducibility". In this paper, we describe an effective approach to extract provenance metadata from published biomedical research literature using an ontology-enabled NLP platform as part of the Provenance for Clinical and Healthcare Research (ProvCaRe). The ProvCaRe-NLP tool extends the clinical Text Analysis and Knowledge Extraction System (cTAKES) platform using both provenance and biomedical domain ontologies. We demonstrate the effectiveness of ProvCaRe-NLP tool using a corpus of 20 peer-reviewed publications. The results of our evaluation demonstrate that the ProvCaRe-NLP tool has significantly higher recall in extracting provenance metadata as compared to existing NLP pipelines such as MetaMap.

  1. Industry careers for the biomedical engineer.

    PubMed

    Munzner, Robert F

    2004-01-01

    This year's conference theme is "linkages for innovation in biomedicine." Biomedical engineers, especially those transitioning their career from academic study into medical device industry, will play a critical role in converting the fruits of scientific research into the reality of modern medical devices. This special session is organized to help biomedical engineers to achieve their career goals more effectively. Participants will have opportunities to hear from and interact with leading industrial experts on many issues. These may include but not limited to 1) career paths for biomedical engineers (industrial, academic, or federal; technical vs. managerial track; small start-up or large established companies); 2) unique design challenges and regulatory requirements in medical device development; 3) aspects of a successful biomedical engineering job candidate (such as resume, interview, follow-up). Suggestions for other topics are welcome and should be directed to xkong@ieee.org The distinguished panelists include: Xuan Kong, Ph.D., VP of Research, NEUROMetrix Inc, Waltham, MA Robert F. Munzner, Ph.D., Medical Device Consultant, Doctor Device, Herndon, VA Glen McLaughlin, Ph.D., VP of Engineering and CTO, Zonare Medical System Inc., Mountain View, CA Grace Bartoo, Ph.D., RAC, General Manager, Decus Biomedical LLC San Carlos, CA.

  2. Identifying impact of software dependencies on replicability of biomedical workflows.

    PubMed

    Miksa, Tomasz; Rauber, Andreas; Mina, Eleni

    2016-12-01

    Complex data driven experiments form the basis of biomedical research. Recent findings warn that the context in which the software is run, that is the infrastructure and the third party dependencies, can have a crucial impact on the final results delivered by a computational experiment. This implies that in order to replicate the same result, not only the same data must be used, but also it must be run on an equivalent software stack. In this paper we present the VFramework that enables assessing replicability of workflows. It identifies whether any differences in software dependencies among two executions of the same workflow exist and whether they have impact on the produced results. We also conduct a case study in which we investigate the impact of software dependencies on replicability of Taverna workflows used in biomedical research of Huntington's disease. We re-execute analysed workflows in environments differing in operating system distribution and configuration. The results show that the VFramework can be used to identify the impact of software dependencies on the replicability of biomedical workflows. Furthermore, we observe that despite the fact that the workflows are executed in a controlled environment, they still depend on specific tools installed in the environment. The context model used by the VFramework improves the deficiencies of provenance traces and documents also such tools. Based on our findings we define guidelines for workflow owners that enable them to improve replicability of their workflows. Copyright © 2016 Elsevier Inc. All rights reserved.

  3. Ethics in biomedical engineering.

    PubMed

    Morsy, Ahmed; Flexman, Jennifer

    2008-01-01

    This session focuses on a number of aspects of the subject of Ethics in Biomedical Engineering. The session starts by providing a case study of a company that manufactures artificial heart valves where the valves were failing at an unexpected rate. The case study focuses on Biomedical Engineers working at the company and how their education and training did not prepare them to deal properly with such situation. The second part of the session highlights the need to learn about various ethics rules and policies regulating research involving human or animal subjects.

  4. A biomedical engineer's library.

    PubMed

    Webster, J G

    1982-01-01

    A survey resulted in a list of the 101 textbooks used by 62 biomedical engineering educational programs. A second list shows the textbooks used by each school. A third list shows the 27 textbooks used at two or more schools and the number of times each is used. This selected compilation should be useful to (a) biomedical engineering curriculum committees considering program revision, (b) teachers considering course revision, (c) university and industrial librarians updating their collections, (d) individuals building a personal library, and (e) students desiring information about the emphasis of various educational programs.

  5. Biomedical and development paradigms in AIDS prevention.

    PubMed Central

    Wolffers, I.

    2000-01-01

    In the fight against the HIV/AIDS pandemic different approaches can be distinguished, reflecting professional backgrounds, world views and political interests. One important distinction is between the biomedical and the development paradigms. The biomedical paradigm is characterized by individualization and the concept of "risk". This again is related to the concept of the market where health is a product of services and progress a series of new discoveries that can be marketed. The development paradigm is characterized by participation of the different stakeholders and by community work. The concept "vulnerability" is important in the development paradigm and emphasis is placed on efforts to decrease this vulnerability in a variety of sustainable ways. Biomedical technology is definitely one of the tools in these efforts. In the beginning of the pandemic the biomedical approach was important for the discovery of the virus and understanding its epidemiology. Later, stakeholders became involved. In the light of absence of treatment or vaccines, the development paradigm became more important and the two approaches were more in balance. However, since the reports about effective treatment of AIDS and hope of development of vaccines, the biomedical paradigm has become a leading principle in many HIV/AIDS prevention programmes. There is a need for a better balance between the two paradigms. Especially in developing countries, where it is not realistic to think that sustainable biomedical interventions can be organized on a short-term basis, it would be counterproductive to base our efforts to deal with HIV/AIDS exclusively on the biomedical approach. PMID:10743300

  6. From the NIH: A Systems Approach to Increasing the Diversity of the Biomedical Research Workforce

    ERIC Educational Resources Information Center

    Valantine, Hannah A.; Lund, P. Kay; Gammie, Alison E.

    2016-01-01

    The National Institutes of Health (NIH) is committed to attracting, developing, and supporting the best scientists from all groups as an integral part of excellence in training. Biomedical research workforce diversity, capitalizing on the full spectrum of skills, talents, and viewpoints, is essential for solving complex human health challenges.…

  7. How can we improve Science, Technology, Engineering, and Math education to encourage careers in Biomedical and Pathology Informatics?

    PubMed

    Uppal, Rahul; Mandava, Gunasheil; Romagnoli, Katrina M; King, Andrew J; Draper, Amie J; Handen, Adam L; Fisher, Arielle M; Becich, Michael J; Dutta-Moscato, Joyeeta

    2016-01-01

    The Computer Science, Biology, and Biomedical Informatics (CoSBBI) program was initiated in 2011 to expose the critical role of informatics in biomedicine to talented high school students.[1] By involving them in Science, Technology, Engineering, and Math (STEM) training at the high school level and providing mentorship and research opportunities throughout the formative years of their education, CoSBBI creates a research infrastructure designed to develop young informaticians. Our central premise is that the trajectory necessary to be an expert in the emerging fields of biomedical informatics and pathology informatics requires accelerated learning at an early age.In our 4(th) year of CoSBBI as a part of the University of Pittsburgh Cancer Institute (UPCI) Academy (http://www.upci.upmc.edu/summeracademy/), and our 2nd year of CoSBBI as an independent informatics-based academy, we enhanced our classroom curriculum, added hands-on computer science instruction, and expanded research projects to include clinical informatics. We also conducted a qualitative evaluation of the program to identify areas that need improvement in order to achieve our goal of creating a pipeline of exceptionally well-trained applicants for both the disciplines of pathology informatics and biomedical informatics in the era of big data and personalized medicine.

  8. Constraint reasoning in deep biomedical models.

    PubMed

    Cruz, Jorge; Barahona, Pedro

    2005-05-01

    Deep biomedical models are often expressed by means of differential equations. Despite their expressive power, they are difficult to reason about and make decisions, given their non-linearity and the important effects that the uncertainty on data may cause. The objective of this work is to propose a constraint reasoning framework to support safe decisions based on deep biomedical models. The methods used in our approach include the generic constraint propagation techniques for reducing the bounds of uncertainty of the numerical variables complemented with new constraint reasoning techniques that we developed to handle differential equations. The results of our approach are illustrated in biomedical models for the diagnosis of diabetes, tuning of drug design and epidemiology where it was a valuable decision-supporting tool notwithstanding the uncertainty on data. The main conclusion that follows from the results is that, in biomedical decision support, constraint reasoning may be a worthwhile alternative to traditional simulation methods, especially when safe decisions are required.

  9. Black Phosphorus and its Biomedical Applications

    PubMed Central

    Choi, Jane Ru; Yong, Kar Wey; Choi, Jean Yu; Nilghaz, Azadeh; Lin, Yang; Xu, Jie; Lu, Xiaonan

    2018-01-01

    Black phosphorus (BP), also known as phosphorene, has attracted recent scientific attention since its first successful exfoliation in 2014 owing to its unique structure and properties. In particular, its exceptional attributes, such as the excellent optical and mechanical properties, electrical conductivity and electron-transfer capacity, contribute to its increasing demand as an alternative to graphene-based materials in biomedical applications. Although the outlook of this material seems promising, its practical applications are still highly challenging. In this review article, we discuss the unique properties of BP, which make it a potential platform for biomedical applications compared to other 2D materials, including graphene, molybdenum disulphide (MoS2), tungsten diselenide (WSe2) and hexagonal boron nitride (h-BN). We then introduce various synthesis methods of BP and review its latest progress in biomedical applications, such as biosensing, drug delivery, photoacoustic imaging and cancer therapies (i.e., photothermal and photodynamic therapies). Lastly, the existing challenges and future perspective of BP in biomedical applications are briefly discussed. PMID:29463996

  10. KaBOB: ontology-based semantic integration of biomedical databases.

    PubMed

    Livingston, Kevin M; Bada, Michael; Baumgartner, William A; Hunter, Lawrence E

    2015-04-23

    The ability to query many independent biological databases using a common ontology-based semantic model would facilitate deeper integration and more effective utilization of these diverse and rapidly growing resources. Despite ongoing work moving toward shared data formats and linked identifiers, significant problems persist in semantic data integration in order to establish shared identity and shared meaning across heterogeneous biomedical data sources. We present five processes for semantic data integration that, when applied collectively, solve seven key problems. These processes include making explicit the differences between biomedical concepts and database records, aggregating sets of identifiers denoting the same biomedical concepts across data sources, and using declaratively represented forward-chaining rules to take information that is variably represented in source databases and integrating it into a consistent biomedical representation. We demonstrate these processes and solutions by presenting KaBOB (the Knowledge Base Of Biomedicine), a knowledge base of semantically integrated data from 18 prominent biomedical databases using common representations grounded in Open Biomedical Ontologies. An instance of KaBOB with data about humans and seven major model organisms can be built using on the order of 500 million RDF triples. All source code for building KaBOB is available under an open-source license. KaBOB is an integrated knowledge base of biomedical data representationally based in prominent, actively maintained Open Biomedical Ontologies, thus enabling queries of the underlying data in terms of biomedical concepts (e.g., genes and gene products, interactions and processes) rather than features of source-specific data schemas or file formats. KaBOB resolves many of the issues that routinely plague biomedical researchers intending to work with data from multiple data sources and provides a platform for ongoing data integration and development and for

  11. Advances in nano-scaled biosensors for biomedical applications.

    PubMed

    Wang, Jianling; Chen, Guihua; Jiang, Hui; Li, Zhiyong; Wang, Xuemei

    2013-08-21

    Recently, a growing amount of attention has been focused on the utility of biosensors for biomedical applications. Combined with nanomaterials and nanostructures, nano-scaled biosensors are installed for biomedical applications, such as pathogenic bacteria monitoring, virus recognition, disease biomarker detection, among others. These nano-biosensors offer a number of advantages and in many respects are ideally suited to biomedical applications, which could be made as extremely flexible devices, allowing biomedical analysis with speediness, excellent selectivity and high sensitivity. This minireview discusses the literature published in the latest years on the advances in biomedical applications of nano-scaled biosensors for disease bio-marking and detection, especially in bio-imaging and the diagnosis of pathological cells and viruses, monitoring pathogenic bacteria, thus providing insight into the future prospects of biosensors in relevant clinical applications.

  12. Recommending images of user interests from the biomedical literature

    NASA Astrophysics Data System (ADS)

    Clukey, Steven; Xu, Songhua

    2013-03-01

    Every year hundreds of thousands of biomedical images are published in journals and conferences. Consequently, finding images relevant to one's interests becomes an ever daunting task. This vast amount of literature creates a need for intelligent and easy-to-use tools that can help researchers effectively navigate through the content corpus and conveniently locate materials of their interests. Traditionally, literature search tools allow users to query content using topic keywords. However, manual query composition is often time and energy consuming. A better system would be one that can automatically deliver relevant content to a researcher without having the end user manually manifest one's search intent and interests via search queries. Such a computer-aided assistance for information access can be provided by a system that first determines a researcher's interests automatically and then recommends images relevant to the person's interests accordingly. The technology can greatly improve a researcher's ability to stay up to date in their fields of study by allowing them to efficiently browse images and documents matching their needs and interests among the vast amount of the biomedical literature. A prototype system implementation of the technology can be accessed via http://www.smartdataware.com.

  13. Fabricating biomedical origami: a state-of-the-art review

    PubMed Central

    Johnson, Meredith; Chen, Yue; Hovet, Sierra; Xu, Sheng; Wood, Bradford; Ren, Hongliang; Tokuda, Junichi; Tse, Zion Tsz Ho

    2018-01-01

    Purpose Origami-based biomedical device design is an emerging technology due to its ability to be deployed from a minimal foldable pattern to a larger volume. This paper aims to review state-of-the-art origami structures applied in the medical device field. Methods Publications and reports of origami structure related to medical device design from the past 10 years are reviewed and categorized according to engineering specifications, including the application field, fabrication material, size/volume, deployment method, manufacturability, and advantages. Results This paper presents an overview of the biomedical applications of devices based on origami structures, including disposable sterilization covers, cardiac catheterization, stent grafts, encapsulation and microsurgery, gastrointestinal microsurgery, laparoscopic surgical grippers, microgrippers, microfluidic devices, and drug delivery. Challenges in terms of materials and fabrication, assembly, modeling and computation design, and clinical adoptability are discussed at the end of this paper to provide guidance for future origami-based design in the medical device field. Conclusion Concepts from origami can be used to design and develop novel medical devices. Origami-based medical device design is currently progressing, with researchers improving design methods, materials, fabrication techniques, and folding efficiency. PMID:28260164

  14. Fabricating biomedical origami: a state-of-the-art review.

    PubMed

    Johnson, Meredith; Chen, Yue; Hovet, Sierra; Xu, Sheng; Wood, Bradford; Ren, Hongliang; Tokuda, Junichi; Tse, Zion Tsz Ho

    2017-11-01

    Origami-based biomedical device design is an emerging technology due to its ability to be deployed from a minimal foldable pattern to a larger volume. This paper aims to review state-of-the-art origami structures applied in the medical device field. Publications and reports of origami structure related to medical device design from the past 10 years are reviewed and categorized according to engineering specifications, including the application field, fabrication material, size/volume, deployment method, manufacturability, and advantages. This paper presents an overview of the biomedical applications of devices based on origami structures, including disposable sterilization covers, cardiac catheterization, stent grafts, encapsulation and microsurgery, gastrointestinal microsurgery, laparoscopic surgical grippers, microgrippers, microfluidic devices, and drug delivery. Challenges in terms of materials and fabrication, assembly, modeling and computation design, and clinical adoptability are discussed at the end of this paper to provide guidance for future origami-based design in the medical device field. Concepts from origami can be used to design and develop novel medical devices. Origami-based medical device design is currently progressing, with researchers improving design methods, materials, fabrication techniques, and folding efficiency.

  15. Lawrence Livermore National Laboratory`s Computer Security Short Subjects Videos: Hidden Password, The Incident, Dangerous Games and The Mess; Computer Security Awareness Guide

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    NONE

    A video on computer security is described. Lonnie Moore, the Computer Security Manager, CSSM/CPPM at Lawrence Livermore National Laboratory (LLNL) and Gale Warshawsky, the Coordinator for Computer Security Education and Awareness at LLNL, wanted to share topics such as computer ethics, software piracy, privacy issues, and protecting information in a format that would capture and hold an audience`s attention. Four Computer Security Short Subject videos were produced which ranged from 1--3 minutes each. These videos are very effective education and awareness tools that can be used to generate discussions about computer security concerns and good computing practices.

  16. Combining Open-domain and Biomedical Knowledge for Topic Recognition in Consumer Health Questions.

    PubMed

    Mrabet, Yassine; Kilicoglu, Halil; Roberts, Kirk; Demner-Fushman, Dina

    2016-01-01

    Determining the main topics in consumer health questions is a crucial step in their processing as it allows narrowing the search space to a specific semantic context. In this paper we propose a topic recognition approach based on biomedical and open-domain knowledge bases. In the first step of our method, we recognize named entities in consumer health questions using an unsupervised method that relies on a biomedical knowledge base, UMLS, and an open-domain knowledge base, DBpedia. In the next step, we cast topic recognition as a binary classification problem of deciding whether a named entity is the question topic or not. We evaluated our approach on a dataset from the National Library of Medicine (NLM), introduced in this paper, and another from the Genetic and Rare Disease Information Center (GARD). The combination of knowledge bases outperformed the results obtained by individual knowledge bases by up to 16.5% F1 and achieved state-of-the-art performance. Our results demonstrate that combining open-domain knowledge bases with biomedical knowledge bases can lead to a substantial improvement in understanding user-generated health content.

  17. 78 FR 13359 - National Library of Medicine; Notice of Meetings

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-27

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with..., discussion, and evaluation of individual intramural programs and projects conducted by the NATIONAL LIBRARY...

  18. 75 FR 42101 - National Library of Medicine; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-20

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with..., discussion, and evaluation of individual intramural programs and projects conducted by the National Library...

  19. 77 FR 1940 - National Library of Medicine; Notice of Meetings

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-01-12

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with..., discussion, and evaluation of individual intramural programs and projects conducted by the National Library...

  20. 77 FR 37684 - National Library of Medicine; Notice of Meetings

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-22

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with... National Library of Medicine, including consideration of personnel qualifications and performance, and the...

  1. 75 FR 78718 - National Library of Medicine; Notice of Meeting

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-16

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with..., discussion, and evaluation of individual intramural programs and projects conducted by the NATIONAL LIBRARY...

  2. 76 FR 48873 - National Library of Medicine Notice of Meetings

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-08-09

    ... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with..., discussion, and evaluation of individual intramural programs and projects conducted by the NATIONAL LIBRARY...

  3. Digital fabrication of multi-material biomedical objects.

    PubMed

    Cheung, H H; Choi, S H

    2009-12-01

    This paper describes a multi-material virtual prototyping (MMVP) system for modelling and digital fabrication of discrete and functionally graded multi-material objects for biomedical applications. The MMVP system consists of a DMMVP module, an FGMVP module and a virtual reality (VR) simulation module. The DMMVP module is used to model discrete multi-material (DMM) objects, while the FGMVP module is for functionally graded multi-material (FGM) objects. The VR simulation module integrates these two modules to perform digital fabrication of multi-material objects, which can be subsequently visualized and analysed in a virtual environment to optimize MMLM processes for fabrication of product prototypes. Using the MMVP system, two biomedical objects, including a DMM human spine and an FGM intervertebral disc spacer are modelled and digitally fabricated for visualization and analysis in a VR environment. These studies show that the MMVP system is a practical tool for modelling, visualization, and subsequent fabrication of biomedical objects of discrete and functionally graded multi-materials for biomedical applications. The system may be adapted to control MMLM machines with appropriate hardware for physical fabrication of biomedical objects.

  4. What We Do | Frederick National Laboratory for Cancer Research

    Cancer.gov

    The Frederick National Laboratory is the only U.S. national lab wholly focused on research, technology, and collaboration in the biomedical sciences- working to discover, to innovate, and to improve human health. We accelerate progress against can

  5. Automated labeling of bibliographic data extracted from biomedical online journals

    NASA Astrophysics Data System (ADS)

    Kim, Jongwoo; Le, Daniel X.; Thoma, George R.

    2003-01-01

    A prototype system has been designed to automate the extraction of bibliographic data (e.g., article title, authors, abstract, affiliation and others) from online biomedical journals to populate the National Library of Medicine"s MEDLINE database. This paper describes a key module in this system: the labeling module that employs statistics and fuzzy rule-based algorithms to identify segmented zones in an article"s HTML pages as specific bibliographic data. Results from experiments conducted with 1,149 medical articles from forty-seven journal issues are presented.

  6. Hypotheses generation as supervised link discovery with automated class labeling on large-scale biomedical concept networks

    PubMed Central

    2012-01-01

    Computational approaches to generate hypotheses from biomedical literature have been studied intensively in recent years. Nevertheless, it still remains a challenge to automatically discover novel, cross-silo biomedical hypotheses from large-scale literature repositories. In order to address this challenge, we first model a biomedical literature repository as a comprehensive network of biomedical concepts and formulate hypotheses generation as a process of link discovery on the concept network. We extract the relevant information from the biomedical literature corpus and generate a concept network and concept-author map on a cluster using Map-Reduce frame-work. We extract a set of heterogeneous features such as random walk based features, neighborhood features and common author features. The potential number of links to consider for the possibility of link discovery is large in our concept network and to address the scalability problem, the features from a concept network are extracted using a cluster with Map-Reduce framework. We further model link discovery as a classification problem carried out on a training data set automatically extracted from two network snapshots taken in two consecutive time duration. A set of heterogeneous features, which cover both topological and semantic features derived from the concept network, have been studied with respect to their impacts on the accuracy of the proposed supervised link discovery process. A case study of hypotheses generation based on the proposed method has been presented in the paper. PMID:22759614

  7. Shape-Memory Polymers for Biomedical Applications

    NASA Astrophysics Data System (ADS)

    Yakacki, Christopher M.; Gall, Ken

    Shape-memory polymers (SMPs) are a class of mechanically functional "smart" materials that have generated substantial interest for biomedical applications. SMPs offer the ability to promote minimally invasive surgery, provide structural support, exert stabilizing forces, elute therapeutic agents, and biodegrade. This review focuses on several areas of biomedicine including vascular, orthopedic, and neuronal applications with respect to the progress and potential for SMPs to improve the standard of treatment in these areas. Fundamental studies on proposed biomedical SMP systems are discussed with regards to biodegradability, tailorability, sterilization, and biocompatibility. Lastly, a proposed research and development pathway for SMP-based biomedical devices is proposed based on trends in the recent literature.

  8. NASA Biomedical Informatics Capabilities and Needs

    NASA Technical Reports Server (NTRS)

    Johnson-Throop, Kathy A.

    2009-01-01

    To improve on-orbit clinical capabilities by developing and providing operational support for intelligent, robust, reliable, and secure, enterprise-wide and comprehensive health care and biomedical informatics systems with increasing levels of autonomy, for use on Earth, low Earth orbit & exploration class missions. Biomedical Informatics is an emerging discipline that has been defined as the study, invention, and implementation of structures and algorithms to improve communication, understanding and management of medical information. The end objective of biomedical informatics is the coalescing of data, knowledge, and the tools necessary to apply that data and knowledge in the decision-making process, at the time and place that a decision needs to be made.

  9. Monte Carlo based investigation of Berry phase for depth resolved characterization of biomedical scattering samples

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Baba, Justin S; John, Dwayne O; Koju, Vijay

    The propagation of light in turbid media is an active area of research with relevance to numerous investigational fields, e.g., biomedical diagnostics and therapeutics. The statistical random-walk nature of photon propagation through turbid media is ideal for computational based modeling and simulation. Ready access to super computing resources provide a means for attaining brute force solutions to stochastic light-matter interactions entailing scattering by facilitating timely propagation of sufficient (>10million) photons while tracking characteristic parameters based on the incorporated physics of the problem. One such model that works well for isotropic but fails for anisotropic scatter, which is the case formore » many biomedical sample scattering problems, is the diffusion approximation. In this report, we address this by utilizing Berry phase (BP) evolution as a means for capturing anisotropic scattering characteristics of samples in the preceding depth where the diffusion approximation fails. We extend the polarization sensitive Monte Carlo method of Ramella-Roman, et al.,1 to include the computationally intensive tracking of photon trajectory in addition to polarization state at every scattering event. To speed-up the computations, which entail the appropriate rotations of reference frames, the code was parallelized using OpenMP. The results presented reveal that BP is strongly correlated to the photon penetration depth, thus potentiating the possibility of polarimetric depth resolved characterization of highly scattering samples, e.g., biological tissues.« less

  10. A biomedical sensor system for real-time monitoring of astronauts' physiological parameters during extra-vehicular activities.

    PubMed

    Fei, Ding-Yu; Zhao, Xiaoming; Boanca, Cosmin; Hughes, Esther; Bai, Ou; Merrell, Ronald; Rafiq, Azhar

    2010-07-01

    To design and test an embedded biomedical sensor system that can monitor astronauts' comprehensive physiological parameters, and provide real-time data display during extra-vehicle activities (EVA) in the space exploration. An embedded system was developed with an array of biomedical sensors that can be integrated into the spacesuit. Wired communications were tested for physiological data acquisition and data transmission to a computer mounted on the spacesuit during task performances simulating EVA sessions. The sensor integration, data collection and communication, and the real-time data monitoring were successfully validated in the NASA field tests. The developed system may work as an embedded system for monitoring health status during long-term space mission. Copyright 2010 Elsevier Ltd. All rights reserved.

  11. Engineering β-sheet peptide assemblies for biomedical applications.

    PubMed

    Yu, Zhiqiang; Cai, Zheng; Chen, Qiling; Liu, Menghua; Ye, Ling; Ren, Jiaoyan; Liao, Wenzhen; Liu, Shuwen

    2016-03-01

    Hydrogels have been widely studied in various biomedical applications, such as tissue engineering, cell culture, immunotherapy and vaccines, and drug delivery. Peptide-based nanofibers represent a promising new strategy for current drug delivery approaches and cell carriers for tissue engineering. This review focuses on the recent advances in the use of self-assembling engineered β-sheet peptide assemblies for biomedical applications. The applications of peptide nanofibers in biomedical fields, such as drug delivery, tissue engineering, immunotherapy, and vaccines, are highlighted. The current challenges and future perspectives for self-assembling peptide nanofibers in biomedical applications are discussed.

  12. Frederick National Laboratory and Georgetown University Launch Research and Education Collaboration | Frederick National Laboratory for Cancer Research

    Cancer.gov

    FREDERICK, Md. -- A new collaboration established between Georgetown University and the Frederick National Laboratory for Cancer Research aims to expand both institutions’ research and training missions in the biomedical sciences. Representatives f

  13. Biomedical engineering education--status and perspectives.

    PubMed

    Magjarevic, Ratko; Zequera Diaz, Martha L

    2014-01-01

    Biomedical Engineering programs are present at a large number of universities all over the world with an increasing trend. New generations of biomedical engineers have to face the challenges of health care systems round the world which need a large number of professionals not only to support the present technology in the health care system but to develop new devices and services. Health care stakeholders would like to have innovative solutions directed towards solving problems of the world growing incidence of chronic disease and ageing population. These new solutions have to meet the requirements for continuous monitoring, support or care outside clinical settlements. Presence of these needs can be tracked through data from the Labor Organization in the U.S. showing that biomedical engineering jobs have the largest growth at the engineering labor market with expected 72% growth rate in the period from 2008-2018. In European Union the number of patents (i.e. innovation) is the highest in the category of biomedical technology. Biomedical engineering curricula have to adopt to the new needs and for expectations of the future. In this paper we want to give an overview of engineering professions in related to engineering in medicine and biology and the current status of BME education in some regions, as a base for further discussions.

  14. Biomedical Use of Aerospace Personal Cooling Garments

    NASA Technical Reports Server (NTRS)

    Webbon, Bruce W.; Montgomery, Leslie D.; Callaway, Robert K.

    1994-01-01

    Personal thermoregulatory systems are required during extravehicular activity (EVA) to remove the metabolic heat generated by the suited astronaut. The Extravehicular and Protective Systems (STE) Branch of NASA Ames Research Center has developed advanced concepts or liquid cooling garments for both industrial and biomedical applications for the past 25 years. Examples of this work include: (1) liquid cooled helmets for helicopter pilots and race car drivers; (2) vests for fire and mine rescue personnel; (3) bras to increase the definition of tumors during thermography; (4) lower body garments for young women with erythomelaigia; and (5) whole body garments used by patients with multiple sclerosis (MS). The benefits of the biomedical application of artificial thermoregulation received national attention through two recent events: (1) the liquid-cooled garment technology was inducted into the United States Space Foundation's Space Technology Hall of Fame (1993); and (2) NASA has signed a joint Memorandum of Understanding with the Multiple Sclerosis Association (1994) to share this technology for use with MS patient treatment. The STE Branch is currently pursuing a program to refine thermoregulatory design in light of recent technology developments that might be applicable for use by several medical patient populations. Projects have been initiated to apply thermoregulatory technology for the treatment and/or rehabilitation of patients with spinal cord injuries, multiple sclerosis, migraine headaches, and to help prevent the loss of hair during chemotherapy.

  15. [The biomedical periodicals of Hungarian editions--historical overview].

    PubMed

    Berhidi, Anna; Geges, József; Vasas, Lívia

    2006-03-12

    The majority of Hungarian scientific results are published in international periodicals in foreign languages. Yet the publications in Hungarian scientific periodicals also should not be ignored. This study analyses biomedical periodicals of Hungarian edition from different points of view. Based on different databases a list of titles consisting of 119 items resulted, which contains both the core and the peripheral journals of the biomedical field. These periodicals were analysed empirically, one by one: checking out the titles. 13 of the titles are ceased, among the rest 106 Hungarian scientific journals 10 are published in English language. From the remaining majority of Hungarian language and publishing only a few show up in international databases. Although quarter of the Hungarian biomedical journals meet the requirements, which means they could be represented in international databases, these periodicals are not indexed. 42 biomedical periodicals are available online. Although quarter of these journals come with restricted access. 2/3 of the Hungarian biomedical journals have detailed instructions to authors. These instructions inform the publishing doctors and researchers of the requirements of a biomedical periodical. The increasing number of Hungarian biomedical journals published is welcome news. But it would be important for quality publications which are cited a lot to appear in the Hungarian journals. The more publications are cited, the more journals and authors gain in prestige on home and international level.

  16. John Glenn Biomedical Engineering Consortium

    NASA Technical Reports Server (NTRS)

    Nall, Marsha

    2004-01-01

    The John Glenn Biomedical Engineering Consortium is an inter-institutional research and technology development, beginning with ten projects in FY02 that are aimed at applying GRC expertise in fluid physics and sensor development with local biomedical expertise to mitigate the risks of space flight on the health, safety, and performance of astronauts. It is anticipated that several new technologies will be developed that are applicable to both medical needs in space and on earth.

  17. Biomedical enhancements as justice.

    PubMed

    Nam, Jeesoo

    2015-02-01

    Biomedical enhancements, the applications of medical technology to make better those who are neither ill nor deficient, have made great strides in the past few decades. Using Amartya Sen's capability approach as my framework, I argue in this article that far from being simply permissible, we have a prima facie moral obligation to use these new developments for the end goal of promoting social justice. In terms of both range and magnitude, the use of biomedical enhancements will mark a radical advance in how we compensate the most disadvantaged members of society. © 2013 John Wiley & Sons Ltd.

  18. Research prioritization through prediction of future impact on biomedical science: a position paper on inference-analytics.

    PubMed

    Ganapathiraju, Madhavi K; Orii, Naoki

    2013-08-30

    Advances in biotechnology have created "big-data" situations in molecular and cellular biology. Several sophisticated algorithms have been developed that process big data to generate hundreds of biomedical hypotheses (or predictions). The bottleneck to translating this large number of biological hypotheses is that each of them needs to be studied by experimentation for interpreting its functional significance. Even when the predictions are estimated to be very accurate, from a biologist's perspective, the choice of which of these predictions is to be studied further is made based on factors like availability of reagents and resources and the possibility of formulating some reasonable hypothesis about its biological relevance. When viewed from a global perspective, say from that of a federal funding agency, ideally the choice of which prediction should be studied would be made based on which of them can make the most translational impact. We propose that algorithms be developed to identify which of the computationally generated hypotheses have potential for high translational impact; this way, funding agencies and scientific community can invest resources and drive the research based on a global view of biomedical impact without being deterred by local view of feasibility. In short, data-analytic algorithms analyze big-data and generate hypotheses; in contrast, the proposed inference-analytic algorithms analyze these hypotheses and rank them by predicted biological impact. We demonstrate this through the development of an algorithm to predict biomedical impact of protein-protein interactions (PPIs) which is estimated by the number of future publications that cite the paper which originally reported the PPI. This position paper describes a new computational problem that is relevant in the era of big-data and discusses the challenges that exist in studying this problem, highlighting the need for the scientific community to engage in this line of research. The proposed

  19. Computer literacy and E-learning perception in Cameroon: the case of Yaounde Faculty of Medicine and Biomedical Sciences.

    PubMed

    Bediang, Georges; Stoll, Beat; Geissbuhler, Antoine; Klohn, Axel M; Stuckelberger, Astrid; Nko'o, Samuel; Chastonay, Philippe

    2013-04-19

    Health science education faces numerous challenges: assimilation of knowledge, management of increasing numbers of learners or changes in educational models and methodologies. With the emergence of e-learning, the use of information and communication technologies (ICT) and Internet to improve teaching and learning in health science training institutions has become a crucial issue for low and middle income countries, including sub-Saharan Africa. In this perspective, the Faculty of Medicine and Biomedical Sciences (FMBS) of Yaoundé has played a pioneering role in Cameroon in making significant efforts to improve students' and lecturers' access to computers and to Internet on its campus.The objective is to investigate how computer literacy and the perception towards e-learning and its potential could contribute to the learning and teaching process within the FMBS academic community. A cross-sectional survey was carried out among students, residents and lecturers. The data was gathered through a written questionnaire distributed at FMBS campus and analysed with routine statistical software. 307 participants answered the questionnaire: 218 students, 57 residents and 32 lecturers. Results show that most students, residents and lecturers have access to computers and Internet, although students' access is mainly at home for computers and at cyber cafés for Internet. Most of the participants have a fairly good mastery of ICT. However, some basic rules of good practices concerning the use of ICT in the health domain were still not well known. Google is the most frequently used engine to retrieve health literature for all participants; only 7% of students and 16% of residents have heard about Medical Subject Headings (MeSH).The potential of e-learning in the improvement of teaching and learning still remains insufficiently exploited. About two thirds of the students are not familiar with the concept of e-leaning. 84% of students and 58% of residents had never had access to

  20. Dual-use review policies of biomedical research journals.

    PubMed

    Resnik, David B; Barner, Dionne D; Dinse, Gregg E

    2011-03-01

    To address biosecurity issues, government agencies, academic institutions, and professional societies have developed policies concerning the publication of "dual-use" biomedical research-that is, research that could be readily applied to cause significant harm to the public, the environment, or national security. We conducted an e-mail survey of life science journals to determine the percentage that have a dual-use policy. Of the 155 journals that responded to our survey (response rate 39%), only 7.7% stated that they had a written dual-use policy and only 5.8% said they had experience reviewing dual-use research in the past 5 years. Among the potential predictors we investigated, the one most highly associated with a journal having a written dual-use policy was membership in the Nature Publishing Group (positive association). When considered individually, both previous experience with reviewing dual-use research and the journal's impact factor appeared to be positively associated with having a written dual-use policy, but only the former remained significant after adjusting for publishing group. Although preventing the misuse of scientific research for terrorist or criminal purposes is an important concern, few biomedical journals have dual-use review policies. Journals that are likely to review research that raises potential dual-use concerns should consider developing dual-use policies.

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