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Research Grants in Clinical Informatics (R01 Clinical Trial Optional)

National Institutes of Health · Opportunity PAR-26-042

Deadline March 5, 2029 953 days left
Award range $0 – $250k
Total program funding $2.5M

≈ 10 awards expected

PostedFebruary 11, 2026

Who can apply

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 foreign subawards/subcontracts submitted in response to this NOFO will be deemed noncompliant and will not be considered for funding. This policy applies to all monetary international collaborations resulting in foreign subawards/subcontracts, however, it does not preclude unfunded international collaborations or foreign components, funding for foreign consultants, or procurement of unique equipment or supplies from foreign vendors.

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 digital objects—including electronic health records (EHRs), clinical notes, imaging data, and patient-generated data. The aim is to transform raw and heterogeneous health data into actionable knowledge, to develop innovative tools, and to implement practical applications that can be generalized across multiple clinical settings and populations. Projects should demonstrate the potential to accelerate scientific insights, improve clinical workflows, and ultimately lead to improved health outcomes.

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