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National Cancer Institute Cancer Research Initiatives


Title

Innovations in Biomedical Computational Science and Technology

Announcement

PAR-03-106
http://grants1.nih.gov/grants/guide/pa-files/PAR-03-106.html

Release Date

04/17/2002

Application Receipt Date

06/24/2003, 10/24/2003, 02/24/2004, 06/24/2004, 10/24/2004, 02/24/2005, 06/24/2005, 10/24/2005, 02/24/2006

Funding Mechanism(s)

R01, R21, R33
http://deainfo.nci.nih.gov/flash/awards.htm

Status of Initiative

Accepting new applications.

Description

Participating Institutes and Centers of the National Institutes of Health (NIH) invite applications for innovative research in biomedical computational science and technology to promote the progress of biomedical research. As defined here, biomedical computing or biomedical information science and technology includes database design, graphical interfaces, querying approaches, data retrieval, data visualization and manipulation, data integration through the development of integrated analytical tools and tools for electronic collaboration, as well as computational and mathematical research including the development of structural, functional, integrative, and analytical models and simulations. This solicitation targets support for fundamental research in biomedical computing science and technology, as well as development and application of new biocomputing tools or technologies for a particular area(s) of scientific opportunity in biomedical research. Programs may target one or many areas of biomedical computing. Examples of data types include (but are not limited to) genomic sequences, biomedical images, qualitative descriptors for health and social science, remote sensing and geospatial images, and chemical formulae. Specific research areas include (but are not limited to): Tools for data acquisition, archiving, querying, retrieval, visualization, integration and management; platform-independent translational tools for data exchange and for promoting interoperability; analytical and statistical tools for interpretation of large data sets; and new models or simulations of complex biological processes. Cross-disciplinary collaborations are strongly encouraged.

Other Information Supporting This Initiative

"The Biomedical Information Science and Technology Initiative (BISTI)" Report

BISTI Web site

Contact

Dan Gallahan Ph.D., dg13w@nih.gov

Type of Cancer Research

Behavioral Research, Patient Care and Survivorship Research
Biology
Cancer Research Training, Career Development, and Education Opportunities
Complementary and Alternative Medicine
Cost Analyses and Health Care Delivery
Drug Discovery and Development
Education and Communication
Epidemiology and Surveillance
Etiology
Imaging
Localized and Systemic Therapies
Predictive and Prognostic Markers
Prevention
Research on Health Disparities and Special Populations
Scientific Model Systems
Specimen Resources

Relevancy to Specific Cancer(s)

Bladder Cancer
Brain Tumor
Breast Cancer
Cervical Cancer
Colorectal Cancer
Endometrial Cancer
Esophageal Cancer
Head and Neck Cancer
Kidney Cancer
Leukemia
Liver Cancer
Lung Cancer
Lymphoma
Melanoma
Myeloma
Other Cancers
Ovarian Cancer
Pancreatic Cancer
Prostate Cancer
Sarcoma
Stomach Cancer
 
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Last Updated 02/06/02 (ldr)