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NIH Phase 1 Exploratory/Developmental Cooperative Agreement (UG3)

PRIMED-AI: Data-to-Model Academic-Industrial Partnerships (D2M-AIP) for Precision Medicine with AI: Integrating Imaging with Multimodal Data

Funds a company and an academic team to build and test an imaging-centred multimodal AI decision tool, developed as software that is a medical device.

This is where the medical AI programme stops talking about frameworks and starts building. It is also where the regulatory reality arrives.

The tools are AI-enabled, image-centred and multimodal — clinical imaging combined with other kinds of health data — and they support clinical decisions. What makes this notice different from most AI research funding is the phrase in its purpose: developed in

Phased academic-industrial partnership projects developing and testing AI-enabled, image-centred, multimodal clinical decision support tools as Software as a Medical Device, integrating clinical imaging with other health data, with high potential for demonstrable positive impact on patient outcomes or healthcare processes. Clinical trials are optional.

CycleiHow often this grant runs — e.g. annually, on a rolling basis, or a one-off call.One-off
Next deadlineiThe next date applications are due. Rolling means you can apply any time.19 Oct 2026
Decision timeiTypical time from the deadline to the funder's decision.26 weeks
Project durationiHow long the funded work is expected to run.
Award typeiThe form of funding — grant, equity, loan, tax credit, etc.Cooperative agreement
Match fundingiThe share of project costs you must cover yourself. 0% = fully funded.
Funding pooliThe total budget available across all awards in this round.

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Last verified: 25 Aug 2026Funder reference: RFA-RM-27-012Source: www.grants.gov