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

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RFA-RM-27-014Grant

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The National Institutes of Health, under the Department of Health and Human Services, is seeking applications to establish a Validation Center for the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program. This center will serve as a centralized hub dedicated to the rigorous evaluation, verification, and characterization of AI-driven clinical decision support tools developed by the PRIMED-AI Consortium. These tools integrate clinical imaging with diverse multimodal health data to enable personalized, data-driven care across a broad spectrum of conditions. The Validation Center’s core mission is to ensure the reliability, reproducibility, and generalizability of these tools through comprehensive assessments of performance, interoperability, and uncertainty quantification, addressing critical barriers to clinical adoption. The center will systematically validate AI-based tools emerging from multiple PRIMED-AI initiatives, including those from the Playbook, Data-to-Model Academic-Industrial Partnerships, and Model-to-Clinic projects. It will not conduct clinical trials but will focus on technical and operational validation to support scalable deployment in real-world clinical environments. Applications for this U54 award must be submitted by October 2, 2026, with the solicitation number RFA-RM-27-014 posted on June 30, 2026. The point of contact for inquiries is the NIH team reachable via odprimed-ai@od.nih.gov or 301-402-2541, and performance will be coordinated nationally without geographic restriction.

General Info

NIH seeks center to validate AI tools integrating imaging and multimodal data for precision medicine.

Agency

Department Of Health And Human Services → National Institutes Of Health

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

Not specified

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseSolicitation
Posted

Solicitation

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → National Institutes Of Health
Contacts1 person available
OfficeUS
Organization / Agency
Department Of Health And Human Services → National Institutes Of Health
Office AddressUS
Contacts
National Institutes of Health

Full Description

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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 solicit applications for the creation of a Validation Center to serve as a dedicated hub for the comprehensive evaluation and characterization of AI-enabled, image-based, multimodal CDS tools developed by the PRIMED-AI Consortium, to ensure these tools are reliable, reproducible, and generalizable. The Validation Center will focus on verification, validation, interoperability, and uncertainty quantification to comprehensively characterize performance of the CDS tools developed by the program. The core functions of the Validation Center will involve the systematic validation of PRIMED-AI Consortium deliverables, including those emerging from award recipients under the Playbook, Data-to-Model Academic-Industrial Partnerships, and Model-to-Clinic NOFOs.

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