Logistics Center for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U24 Clinical Trials Not Allowed)
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
AI Contract Overview
The National Institutes of Health, under the Department of Health and Human Services, is soliciting applications for a Logistics Center to support the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program. The Logistics Center will serve as the central hub for coordinating and facilitating the activities of the PRIMED-AI Consortium, enabling seamless collaboration among grantees and promoting the widespread adoption of AI-based clinical decision support tools. These tools integrate clinical imaging with diverse health data types to enable personalized, data-driven care across a broad spectrum of medical conditions, with the ultimate aim of improving patient outcomes through scalable, sustainable, and reliable AI technologies. The Logistics Center will house three integrated Cores—Administration, Evaluation, and Outreach—to ensure operational efficiency, rigorous assessment of tool performance, and effective dissemination of resources to scientific, clinical, and patient communities. This opportunity, identified by solicitation number RFA-RM-27-015 and categorized as a U24 award, explicitly prohibits clinical trials and is open to applicants committed to infrastructure development and coordination rather than direct research or tool creation. The Logistics Center is expected to collect, curate, and make accessible information on AI tools developed by other PRIMED-AI recipients, fostering transparency, interoperability, and adoption across diverse healthcare settings. Proposals are due by October 2, 2026, and all correspondence should be directed to the designated point of contact at the NIH Office of the Director. The funding agency seeks a robust, proactive center capable of building community engagement, standardizing data sharing practices, and accelerating the integration of multimodal AI solutions into routine clinical workflows.
General Info
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Documents
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