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Opportunities for Biomedical Computing and Informatics Research Funding at NIH

Opportunities for Biomedical Computing and Informatics Research Funding at NIH. Zohara Cohen, PhD Program Director NIBIB, NIH, DHHS KOrean Computer Scientists and Engineers Association in America (KOCSEA) Technical Symposium October 26, 2008 . NIH Mission and Structure.

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Opportunities for Biomedical Computing and Informatics Research Funding at NIH

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  1. Opportunities for Biomedical Computing and Informatics Research Funding at NIH Zohara Cohen, PhD Program Director NIBIB, NIH, DHHS KOrean Computer Scientists and Engineers Association in America (KOCSEA) Technical SymposiumOctober 26, 2008

  2. NIH Mission and Structure NIH is the steward of medical and behavioral research for the Nation. Its mission is science in pursuit of fundamental knowledge about the nature and behavior of living systems and the application of that knowledge to extend healthy life and reduce the burdens of illness and disability.

  3. OD NIBIB NIA NIAAA NIAID NIAMS NICHD NIDCD NIDCR NIDDK NIDA NIEHS NIGMS NIMH NINDS NINR NCI NEI NCCAM NCRR NHGRI NHLBI NLM FIC NCMHD CC CSR CIT NIH Structure

  4. NIBIB Mission The mission of the National Institute of Biomedical Imaging and Bioengineering is to improve health by leading the development and accelerating the application of biomedical technologies. NIBIB is committed to integrating the physical and engineering sciences with the life sciences to advance basic research and medical care.

  5. www.nibib.nih.gov

  6. Current NIBIB Portfolio Areas • Biomaterials • Biomedical Informatics • Biosensors • Drug & Gene Delivery Systems • Image-Guided Interventions • Image Processing and Display • Magnetic Resonance Imaging and Spectroscopy • Mathematical Modeling, Simulation, and Analysis • Medical Devices and Implant Science • Micro-Biomechanics • Micro- and Nano-Systems; Platform Technologies • Molecular Imaging • Nanotechnology • Nuclear Medicine • Optical Imaging and Spectroscopy • Rehabilitation Engineering • Sensors • Surgical Tools, Techniques, and Systems • Telehealth • Tissue Engineering • Ultrasound: Diagnostic and Interventional • X-ray, Electron, and Ion Beam

  7. Biomedical Information Science and Technology Initiative (BISTI) • established in May 2000 to serve as the focus of biomedical computing issues at the NIH • a consortium of representatives from each of the NIH institutes and centers • mission: • make optimal use of computer science and technology to address problems in biology and medicine • foster new basic understandings, collaborations, and transdisciplinary initiatives between the computational and biomedical sciences • coordinates research grants, training opportunities, and scientific symposia associated with biomedical computing http://bisti.nih.gov/

  8. BISTI FOA’s • Innovations in Biomedical Computational Science and Technology (R01) - PAR-07-344 • Exploratory Innovations in Biomedical Computational Science and Technology (R21) - PAR-06-411 • Innovations in Biomedical Computational Science and Technology Initiative (SBIR [R43/R44]) - PAR-07-160 • Innovations in Biomedical Computational Science and Technology Initiative (STTR [R41/R42]) - PAR-07-161 • Continued Development and Maintenance of Software (R01) - PAR-08-010 http://bisti.nih.gov/

  9. National Centers for Biomedical Computing (NCBCs) • BISTI • Roadmap NCBC’s • Blueprint for Neuroscience • IMAG • CTSA Informatics Coordinating Committee • NanoHealth Enterprise • PhysioNet Resource • Osteoarthritis Initiative • caBIG Imaging Informatics Workspace www.ncbcs.org

  10. NCBC-Related FOA’s • Collaborations with National Centers for Biomedical Computing (R01) - PAR-07-249 • Exploratory Collaborations with National Centers for Biomedical Computing (R21) - PAR-07-250

  11. IMAG Interagency Modeling and Analysis Group

  12. Genes Cellstructure-function Tissuestructure-function Organstructure-function Clinical medicine … 4 tissue types 30,000+ genes 100,000+proteins 200+ cell types 12 organsystems 1 body Multiscale Modeling • spans scales from molecular to population • encompasses concepts of space, time and state space • expected to impact the understanding of biological processes • further the predictive capability in biomedical systems mRNA Proteins Lipids Carbohydrates Courtesy of Peter Hunter

  13. www.nibib.nih.gov/Research/MultiScaleModeling

  14. IMAG Wikihttp://www.imagwiki.org/mediawiki 10 Working Groups

  15. IMAG Multiscale Modeling (MSM) Consortium Working Groups • WG1 - Filament Dynamics and Simulation (FDS) • WG2 - Cardiac and Skeletal Muscle Physiology • WG3 - Macro-To-Micro Scale Imaging and Transport in Human Systems • WG4 - Cell Level Modeling • WG5 - High Performance Computing, Computational Issues and Algorithms • WG6 - Tissue Mechanics • WG7 - Multiscale Imaging • WG8 – Theoretical Methods • WG9 – Nano-modeling • WG10 – Model Sharing

  16. Multiscale Modeling of the Physiome and the NIH vision for the 21st Century IMAG Grace C.Y. Peng, PhDApril 10-11, 2008 International Physiome Symposium 2008 Toward Holistic Medicine: Physiome and Oriental Medicine Seoul, Korea

  17. Please Populate Korea Page Promoting Global Cooperation and Awarenesshttp://www.imagwiki.org/mediawiki

  18. IMAG-Related FOA 12 NIH participating institutes 3 years, 9 receipt dates

  19. PAR 08-023 Objectives • To develop multiscale models that link at least two biological scales of modeling and accurately predict biomedical and behavioral processes in health and disease states • To develop predictive, multiscale models that link to higher levels of the physiome. Models must link to at least one scale beyond molecular interactions at the cellular level (e.g. to cell-cell, cell-environment interactions, as listed above) • To develop predictive, multiscale models that are physiologically mechanistic and have translational potential or clinical applicability • To bring together modeling and biomedical expertise to collaborate on building multiscale model(s) • To validate and test models with standard datasets • To develop models that can be explicitly shared with other modelers

  20. NIH Blueprint for Neuroscience Research

  21. Neuroimaging Tools and Resources Clearinghouse (NITRC) Goal: Provide an independent clearinghouse for neuroimaging tools, vocabularies and datasets that promotes adoption and evolution of these resources by providing access, advice, and forums for input and discussion for both developers and the widespread user community.

  22. www.nitrc.org

  23. NITRC-Related FOAs NIH Blueprint provides supplemental funding to support enhancement of existing neuroimaging informatics tools and resources to improve interoperability, adoptability, dissemination, and usability. • Neuroimaging Informatics Software Enhancement for Improved Interoperability and Dissemination (R03) – PAR-07-417 • Notice of Availability of Administrative Supplements for Neuroimaging Informatics Software Enhancement for Improved Interoperability and Dissemination - NOT-EB-08-002

  24. BIRN: Biomedical Informatics Research Network • dfsdfasdf

  25. BIRN and caBIG-Related FOA’s • Sharing Data and Tools: Federation using the BIRN and caBIG Infrastructures (R01) – PAR-07-426 • Data Ontologies for Biomedical Research (R01) – PAR-07-425

  26. Biotechnology Resource Centers:a NCRR and NIBIB Program

  27. Other Active NIH FOA’s with Relevance to Biomedical Computing and Informatics • Bioengineering Research Partnerships (R01) - PAR-07-352 • Bioengineering Research Grants (R01) - PA-07-279 • NLM Express Research Grants in Biomedical Informatics (R01) - PAR-08-080 http://grants.nih.gov/grants/guide/

  28. Thank You! Zohara Cohen zcohen@mail.nih.gov

  29. Predictive Personalized Preemptive Participatory The Future Paradigm: The 4 P’s Transform Medicine from Curative to Preemptive

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