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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)

Open now · Cooperative Agreement · RFA-RM-27-012

Next cut-off
19 Oct '26
in 43 days
Call budget
,
across every grant here
Grants expected
8
projects that will be funded
Funding rate
,
not published, read the conditions

What this call funds

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.

What applying costs you

ItemEstimateNote
Drafting effort3–4 weekssingle submission
Time to first payment6–9 monthscut-off → evaluation → grant agreement

These are Bemzu's estimates from the call's structure (the number of stages and whether a consortium is required) not figures published by the Commission. Only the co-financing share is read from the call itself.

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