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OpenU24NIH-CFClinical trial: Not allowed

Logistics Center for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U24 Clinical Trials Not Allowed)

NIH Common Fund (NIH-CF) · NIH Institute/Center · RFA-RM-27-015

Source: Grants.gov · View original posting ↗

Award
Up to $575K
Deadline
Oct 2, 2026
Letter of intent
Mechanism
U24
Duration
Expected awards
1
Funding cycle
One-time
Open date
Jun 30, 2026
Total funding
$750K total
Clinical trial
Not allowed
Higher educationNonprofitGovernmentSmall businessForeign entities

Research areas

Biomarkers & diagnostics

Auto-classified from the title and description (keyword-based) — may be imperfect.

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 create a Logistics Center for the PRIMED-AI Program to facilitate and coordinate PRIMED-AI activities to maximize impact for the PRIMED-AI community. Within the Logistics Center, three integrated Cores will serve the functions of Administration, Evaluation, and Outreach for the PRIMED-AI Consortium. It is expected that the Logistics Center will work closely with other PRIMED-AI consortium members to collect, curate and disseminate information regarding tools developed by the PRIMED-AI award recipients, and will facilitate widespread access and awareness across the relevant scientific, patient, and clinical communities.