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U.S. National Institutes of Health·United States of America

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)

Closes 10/19/2026$1M – $3MGrants Notice
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Description

The National Institutes of Health (NIH) is seeking applications for the Precision Medicine with Artificial Intelligence - Integrating Imaging with Multimodal Data (PRIMED-AI) program. The goal of this program is to develop innovative, reliable, and cost-effective AI-based tools that integrate clinical imaging with other health data types to enhance personalized medicine for patients with chronic and other health conditions. The program will focus on data integration and interoperability, and will be followed by a second phase focused on algorithm development and performance testing. • The program will utilize the UG3/UH3 activity code. • Applicants must submit a Data Management and Sharing Plan at the time of application. • The program will require engagement with the Common Fund Data Ecosystem (CFDE) for dissemination of PRIMED-AI assets and resources. • The program will have a focus on intellectual property rights, and award recipients will be required to report all inventions made in the performance of the project.

Attached files

Contact

Sahana N. Kukke(Program Contact)

[email protected]

(301) 402-3756

Key dates

Opened
6/6/2025
Closes
10/19/2026
Projected award
3/1/2027
Duration
4 years

Last updated

Details

Type
Grants Notice
Industry
Healthcare and Medical Services
NAICS
541510
Solicitation №
RFA-RM-27-012

Budget estimate

$1,000,000 – $3,000,000

The estimated funding for this opportunity is $2,900,000. The actual budget may vary depending on the number of awards made and the specific projects proposed. The budget is likely to be in the range of $1 million to $3 million, given the estimated funding and the number of awards expected to be made.

AI estimate from the solicitation

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