Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed)

Federal funding opportunity RFA-RM-27-011 from National Institutes of Health (Department of Health and Human Services).

Apply on Grants.gov →Application closes October 9, 2026

Posted: June 30, 2026
Closes: October 9, 2026
Award ceiling: $300,000
Program funding: $2,000,000
Expected awards: 5
Cost sharing: No
Instrument: Cooperative Agreement
Assistance listing: 93.310
Category: Health
Archives: December 8, 2026

Program funding history

Awards made under Assistance Listing 93.310 across FY2024–FY2026, from public federal spending records.

FY2024 obligated: $1.2B
FY2025 obligated: $1B
FY2026 (to date) obligated: $314.8M
Awards in window: 4,776

Top recipients: Washington University, the, The Leland Stanford Junior University, The Johns Hopkins University, Yale Univ, New York University

Source: USAspending.gov · refreshed July 2026

Synopsis

The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges. The purpose of this NOFO is to solicit applications for the design, development, and preliminary validation of robust frameworks for the application of multimodal-artificial intelligence (AI) models for clinical use. Frameworks developed through these awards would populate a "playbook", defined as a collection of actionable guidelines, standardized protocols, and/or standard operating procedures (SOPs) for reliable and effective development and deployment of multimodal AI tools. It is expected that the frameworks delineated in this playbook will directly address PRIMED-AI objectives and needs, while also remaining flexible enough to enable sufficient extensibility and interoperability for use across a broad spectrum of multimodal biomedical AI applications, both internal and external to the PRIMED-AI Program.

Who can apply

Public and State controlled institutions of higher education
State governments
Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
Independent school districts
Others (see text field entitled "Additional Information on Eligibility" for clarification)
Public housing authorities/Indian housing authorities
Private institutions of higher education
Native American tribal governments (Federally recognized)
City or township governments
Native American tribal organizations (other than Federally recognized tribal governments)
For profit organizations other than small businesses
County governments
Special district governments
Small businesses

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International Collaborations:Non-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.

How to apply

Applications go through the official government listing. Grants Radar links you straight to the source.

View on Grants.gov

Agency contact: National Institutes of Health · ODPRIMED-AI@od.nih.gov · 301-402-2541

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