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Research Grants in Clinical Informatics (R01 Clinical Trial Optional)

National Institutes of Health

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Posted: Oct 23, 2025
Amount: $250,000
Closes: Mar 5, 2029 (in 949 days)

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Classification and identifiers

Solicitation number: PAR-26-042
Assistance listing (CFDA): 93.879

Amount

$250,000

Who can apply

Housing authoritiesFor-profitsPublic universitiesSmall businessSchool districtsNonprofits (non-501c3)

Public colleges and universities and Small businesses can all apply here. Check the eligibility details below to see if your organization fits.

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International CollaborationsNon-domestic (non-U.S.) Entities (Foreign Organizations) are eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are allowed.NIH will no longer issue awards (i.e., new, renewal, or non-competing continuation) to domestic or foreign entities that involve foreign subawards/subcontracts. All NIH-funded research involving foreign subawards/subcontracts must be submitted in response to a NOFO that is specifically designated for funded international collaborations. This new requirement was effective, May 1, 2025.Applications involving for...

About this opportunity

The National Library of Medicine (NLM) seeks applications for innovative research in clinical informatics. The overarching goal of this forthcoming program is to catalyze the development and advancement of novel informatics methodologies that empower clinicians, patients, and the broader public to better understand, manage, and improve health and health care delivery. This NOFO will support research focused on the design, implementation, and evaluation of clinical informatics tools and methods that enable data-driven discovery, promote evidence-based decision-making, and support personalized and precision health care. Emphasis will be placed on domain-independent, scalable, and reusable/reproducible approaches for the discovery, analysis, organization, and management of health-related digi...