GrantQuick

health · HHS-NIH11

Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional)

National Institutes of Health · RFA-RM-27-013

63 days left

Expected Awards

8

Deadline

October 19, 2026

GRANTQUICK SUMMARYPlain-English Overview

The clinical translation arm of PRIMED-AI: funding 8 teams to take AI models (developed under the companion D2M NOFO) and move them toward CLINICAL USE — validation in clinical workflows, regulatory pathway planning, and pilot deployment in healthcare settings. This is the bridge from "AI that works in a lab" to "AI that helps actual patients."

Who Should Apply

Academic medical centers with BOTH AI development capacity AND clinical infrastructure to pilot AI tools in real patient care. Industry partners welcome.

Who Should NOT Apply

Pure AI/tech companies without clinical deployment environments, basic science labs without clinical translation pathways, or foreign institutions.

Key Requirements (Plain English)

  • Must translate AI models to clinical settings
  • Must plan regulatory pathways (FDA, clinical validation)
  • Must include clinical pilot deployment
  • Must be domestic US institution
  • UG3/UH3 milestone structure

💡 GrantQuick Tip

If you applied to the D2M (data-to-model) NOFO, you should NOT also apply here with the same team — these are meant to be complementary. The M2C teams will eventually receive models FROM D2M teams. Focus on clinical integration challenges: EHR workflow integration, clinician trust, regulatory evidence generation, and real-world validation in diverse patient populations.

Competitiveness: High — 8 awards in a premier NIH program. Must demonstrate clinical translation capacity, not just research.

What This Grant Funds

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 catalyze the translation of Artificial Intelligence (AI)-enabled, image-centered, multimodal CDS tools, developed as Software as a Medical Device, from training and testing of prototypes towards clinical applications that address unmet health challenges in precision medicine. These projects are expected to have high potential for demonstrable, positive impact on patient outcomes and/or healthcare processes.

Attachments

Who Can Apply

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 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.

Eligible Applicant Types

501(c)(3) NonprofitsPublic Colleges & UniversitiesNonprofits without 501(c)(3)State GovernmentsFor-Profit OrganizationsOther (see NOFO for details)Independent School DistrictsCity/Township GovernmentsPrivate Colleges & UniversitiesSmall BusinessesPublic And Indian Housing AuthoritiesSpecial District GovernmentsFederally Recognized Tribal GovernmentsOther Tribal OrganizationsCounty Governments

Funding Details

Expected Number of Awards
8
Cost Sharing Required?
No
Funding Instrument
cooperative_agreement

Key Dates

Posted: June 30, 2026
Application Deadline: October 19, 2026 (63 days remaining)

Agency Contact

PRIMED-AI Program ODPRIMED-AI@od.nih.gov

ODPRIMED-AI@od.nih.gov

Ready to apply?

View the full NOFO and submit your application on Grants.gov