National Institutes of Health · Department of Health and Human Services
PRIMED-AI: Data-to-Model Academic-Industrial Partnerships (D2M-AIP) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (UG3/UH3 Clinical Trial Optional)
Key facts
- Deadline
- Due Oct 19, 2026 · 13 days left
- Award size
- Not specified — see notice
- Cost share / match
- Not required
- Who can apply
- State government, School district, City or town government, Special district (utility, fire, etc.), Public college or university, Tribal government, Nonprofit without 501(c)(3), Other (see eligibility), Private college or university, Tribal organization, Small business, Nonprofit with 501(c)(3), County government, Larger business
- Where
- Anywhere in the U.S., including Tennessee
Before you apply: federal grants require an active SAM.gov registration (Unique Entity ID) and a Grants.gov account. The deadline is in 13 days. If your registration isn't already active, it may not be ready in time, so check it today. Grant-ready checklist
How this fits you
- Available in Tennessee (nationwide program)
- No cost share required
- Only 13 days left to apply
- Tennessee recipients since 2023: 23
Tell us who you are to see whether you're eligible.
Read the official notice View on Grants.gov Add deadline to my calendar
About this grant
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 Notice of Funding Opportunity (NOFO) is to catalyze the development and testing of Artificial Intelligence (AI)-enabled, image-centered, multimodal Clinical Decision Support (CDS) tools, developed in pursuance as Software as a Medical Device (SaMD). These projects are expected to have high potential for demonstrable, positive impact on patient outcomes and/or healthcare processes.
Eligibility (from the notice)
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.
Who in Tennessee has won this program
23 awards to Tennessee recipients in 2 counties since federal FY2023. Largest shown:
| Recipient | Where | Amount | FY |
|---|---|---|---|
| Vanderbilt University Medical Center | Nashville, Davidson County | $143.7M | 2016 |
| Meharry Medical College | Nashville, Davidson County | $45.7M | |
| Vanderbilt University Medical Center | Nashville, Davidson County | $32.8M | 2023 |
| Vanderbilt University Medical Center | Nashville, Davidson County | $27.5M | 1997 |
| Vanderbilt University Medical Center | Nashville, Davidson County | $22M | 2016 |
| Vanderbilt University Medical Center | Nashville, Davidson County | $19.6M | 2011 |
| Vanderbilt University Medical Center | Nashville, Davidson County | $12.6M | 2016 |
| Vanderbilt University Medical Center | Nashville, Davidson County | $9.3M | 2021 |
| Vanderbilt University Medical Center | Nashville, Davidson County | $8.5M | 2022 |
| Vanderbilt University Medical Center | Nashville, Davidson County | $8M | 2025 |
| University Of Memphis | Memphis, Shelby County | $7.7M | 2020 |
| Vanderbilt University Medical Center | Nashville, Davidson County | $7.4M | 2002 |
Source: USAspending.gov. Past awards show who this program funds; they don't guarantee future awards.
About the program (93.310)
Trans-NIH Research Support — NIH-wide Research Support
How applications are judged
Funding decisions are based on scientific merit (42 CFR 52h) and program relevance. Scientific merit review encompasses: the peer review criteria detailed in the specific funding announcement, as well as the significance, approach, and innovation of the proposed research; the competency of the principal investigator; the adequacy of the resources and environment; the proposed budget and requested period of support; and, where applicable, the adequacy of the measures for protecting against adverse effects upon humans, animals, or the environment.
Matching requirements
This program has no statutory formula.
Matching requirements are not applicable to this assistance listing.
MOE requirements are not applicable to this assistance listing.
Examples of funded projects
Not Applicable.