The NIH Common Fund is pleased to announce available funding opportunities for its new Precision Medicine with AI: Integrating Imaging with Multimodal (PRIMED-AI) program.

The PRIMED-AI program seeks to develop innovative, reliable, and cost-effective AI-based tools that integrate clinical imaging with other health data types to enhance personalized medicine for patients with chronic and other health conditions. PRIMED-AI will be a uniquely synergistic, catalytic, cross‐cutting way of transforming the delivery of precision medicine through the emerging medical AI landscape.

Applications are now being collected for the following 5 PRIMED-AI funding opportunities:

1. The Validation Center opportunity (RFA-RM-27-014) invites applications for a center which will serve as an independent hub for third party verification, validation, and uncertainty quantification of AI-enabled tools developed by the program. 

   • Applications are due: October 2, 2026, by 5:00 PM local time of applicant organization

      

2. The Logistics Center opportunity (RFA-RM-27-015) invites applications for a center which will provide the administrative infrastructure necessary to facilitate and coordinate PRIMED-AI awardee activities to maximize the impact of the program.  The Logistics Center will provide administrative infrastructure through three integrated cores: Administration, Evaluation, and Outreach.

   • Applications are due: October 2, 2026, by 5:00 PM local time of applicant organization

      

3. The Development and Testing of a Multi-use Frameworks Playbook opportunity (RFA-RM-27-011) invites applications for projects to develop and test standardized processes that will help organize and support the emerging multimodal-AI field. Such frameworks will support responsible use of PRIMED-AI models, error mitigation and technical management of data and algorithms, data ontology/linkage, and preparation for regulatory approval.

   • Applications are due: October 9, 2026, by 5:00 PM local time of applicant organization

      

4. The Data-to-Model: An Academic-Industrial Partnership (D2M-AIP) opportunity (RFA-RM-27-012) invites applications for projects that will integrate and harmonize novel multiscale, multimodal data with clinical imaging data as well as develop and test truly novel AI-enabled, image-centered, multimodal clinical decision support tools. The purpose of this opportunity is to support multi-sector and multi-disciplinary research teams, including investigators from both academia and industry, to create mutually beneficial opportunities for partners in the pre-competitive development stage.

   • Applications are due: October 19, 2026, by 5:00 PM local time of applicant organization

      

5. The Model-to-Clinic (M2C) opportunity (RFA-RM-27-013) invites applications for projects that take clinical decision support tools from validated prototypes to clinical applications. M2C projects are expected to have high potential for demonstrable, positive impact on patient outcomes and/or healthcare processes.

   • Applications are due: October 19, 2026, by 5:00 PM local time of applicant organization

      

Pre-recorded informational webinars will be posted to the PRIMED-AI website at a later date.

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