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)
NIH cooperative agreements fund development and testing of AI-enabled, image-centered multimodal clinical decision support software as a medical device for health care settings, with clinical workflow integration and patient outcome/process impact for eligible applicants including foreign organizations.
⚑ UG3/UH3 cooperative agreement with programmatic involvement · Clinical Trial Optional · Foreign organizations and foreign components are eligible · Software as a Medical Device (SaMD) / clinical decision support focus
Unit fits — one characterization, each unit's own rules
| Physical Sciences & Engineering (demo) | 90 strong | technical depth: central; funds applied research |
| IPPRA | 58 good | peripheral portfolio topic: public_health; social/behavioral work is minor; funds applied research; biomedical core — IPPRA health lane is communication/crisis/policy (capped); clinical-trial/biomedical core — IPPRA angle is policy/community (capped) |
| Tom Love Innovation Hub | 45 partial | funds applied research; prototyping/demonstration stage; deep-tech content |
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 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.
Eligibility
Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International Collaborations:Non-domestic (non-U.S.) Entities (Foreign Organizations) are eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
Apply
View on Grants.gov → CONTACT: National Institutes of Health <ODPRIMED-AI@od.nih.gov>
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