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Validation Center for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U54 Clinical Trials Not Allowed)

National Institutes of Health

Funding Amount

$3,900,000 total

Deadline

Closed

Number of Awards

1

Grant Type

Federal

Deadline history & next window

Closed — no recurring cycle is stated for this program

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Cycle
Not stated
Last deadline
October 2, 2026
Tracked since
April 2026

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Overview

PRIMED-AI: Validation Center (U54 Clinical Trial Not Allowed)

The NIH Common Fund, with other NIH Institutes and Centers (ICs), intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications for the Precision Medicine with Artificial Intelligence - Integrating Imaging with Multimodal Data (PRIMED-AI) program, which seeks 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’s Validation Center initiative will serve as an independent hub for third party verification, validation, and uncertainty quantification of AI-enabled, image-based, multimodal Clinical Decision Support (CDS) tools through the systematic retesting and harmonization of PRIMED-AI deliverables to comprehensively characterize performance of the CDS tools. Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. This NOFO will utilize the U54 activity code. Investigators with expertise and insights into the validation of CDS tools and the confidence bounds and potential failure modes of AI predictions are encouraged to begin to consider applying for this new NOFO.

Details

  • Agency: National Institutes of Health
  • Department: Department of Health and Human Services
  • Opportunity #: RFA-RM-26-014
  • Total Funding: $3,900,000
  • Instrument: cooperative_agreement

Focus Areas & Funding Uses

Fields of Work

  • Science research
  • Healthcare

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