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Purpose |
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This RFA is for exceptionally innovative research on novel hypotheses or difficult problems, solutions to which would have an extremely high impact on biomedical or biobehavioral research that is germane to the mission of the National Library of Medicine. The RFA supports new projects, not continuation of projects that have already been initiated. It does not support pilot projects, i.e., projects of limited scope that are designed primarily to generate data that will enable the PI to seek other funding opportunities.
For the EUREKA program, NLM seeks innovative applications in the following area:
Intelligent Search Tool for Answering Clinical and Biomedical Research Questions: Information that could help a physician diagnose or manage a health condition, or help a researcher explore the significance of a biomedical problem, is scattered across many different types of resources, such as published biomedical articles, databases, web resources, image files, paper or electronic charts, trial or experiment protocols, best-practice guidelines for care, among others. NLM's EUREKA challenge is to develop new computational approaches for information retrieval across multiple resources. The approach should allow a physician or researcher to pose a single query that searches multiple data sources and produces a coherent response, highlighting key relevant information which may signal new insights for clinical research or patient care. We are seeking an intelligent question-answering system that a physician or researcher could use by entering a question in a natural way with minimal query formulation. The system would "choose" sources to search and bring back an answer that is a summarization of relevant content, not just a hit-list of links or sources.. |
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Application Deadline |
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November 24, 2009 |
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Last reviewed: 13 November 2009
Last updated: 13 November 2009
First published: 19 August 2008
Metadata| Permanence level: Permanent: Dynamic Content
