IPPRA / Grant Monitor

2026-07-07
← Board

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

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

biomedical clinical ai data science public health Health

Closes
2026-10-19 · 104 d
Award ceiling
Award floor
Program funding
Expected awards
8
Cost sharing
No
Posted
2026-06-30
Instrument
Cooperative Agreement
Characterization · gpt-5.4-mini · 2026-07-07

NIH supports cooperative-agreement projects that translate AI-enabled, image-centered multimodal clinical decision support software toward clinical application for precision medicine, and foreign organizations and foreign components are eligible.

Funds
applied research
University
direct
social behavioral
minor
physical sciences
minor
engineering
substantial
life biomedical
central
computational data
central

⚑ Cooperative Agreement (UG3/UH3) · Clinical Trial Optional · foreign organizations and foreign components eligible

Unit fits — one characterization, each unit's own rules

Physical Sciences & Engineering (demo) 90 strong technical depth: central; funds applied research
IPPRA 58 good peripheral portfolio topic: public_health; social/behavioral work is minor; funds applied research; biomedical core — IPPRA health lane is communication/crisis/policy (capped); clinical-trial/biomedical core — IPPRA angle is policy/community (capped)
Tom Love Innovation Hub 30 weak funds applied research; deep-tech content

Description

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.

Eligibility

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.

Apply

View on Grants.gov → CONTACT: National Institutes of Health <ODPRIMED-AI@od.nih.gov>

Proposal brief SEE AN EXAMPLE →

A one-page internal memo: fit assessment, submission requirements, document scaffold, and next steps dated back from the deadline — tailored to your project idea if you add one.

ONE LLM CALL (~1¢) · CACHED · REQUIRES STAFF KEY

Proposal shell · National Institutes of Health conventions SEE AN NIH EXAMPLE →

Funder-faithful document skeletons — National Institutes of Health's document set with section headings, page limits, reviewer guidance, and writing prompts; add a project idea to get [DRAFT] starter bullets. Download as .md for Word or Overleaf.

ONE LLM CALL (~2-3¢) · CACHED · SCAFFOLDING, NOT GHOSTWRITING