The NIH Common Fund is accepting applications for RFA-RM-27-011, Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI).
Funding: NIH anticipates five awards. Budgets are limited to $300,000 in direct costs per year, and the award period is two years. Simpler.Grants.gov lists approximately $2 million in program funding.
Deadline: applications are due October 9, 2026 at 5:00 PM local time of the applicant organization. Late applications will not be accepted.
Purpose: applicants must develop and test robust, reusable frameworks for multimodal AI clinical use, creating actionable guidelines, standardized protocols, and/or standard operating procedures. NIH expects the frameworks to address responsible use, error mitigation, technical management, data and algorithm management, ontology and linkage, extensibility, interoperability, and preparation for regulatory approval. Applicants must propose at least two distinct frameworks.
Eligibility: eligible domestic applicants include higher education institutions, nonprofits, state and local governments, tribal organizations, independent school districts, small businesses, and other for-profit organizations. Foreign organizations and foreign components are not allowed. Cost sharing is not required.
Atlas assessment: provisional N9+ Fit Score 72/100 and Atlas Opportunity Score 84/100. N9+ is potentially relevant as a real-world multimodal data, interoperability, remote-examination, and connected-health reference platform within a broader AI governance and deployment framework. This is not a device-acquisition grant and should not be positioned as routine N9+ deployment. Dr. Miltie should not be treated as a TRUE direct applicant unless Atlas verifies sufficient multimodal-AI framework, regulatory, interoperability, and research expertise for the required work.