Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional)
About
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 NOFO is to catalyze the translation of Artificial Intelligence (AI)-enabled, image-centered, multimodal CDS tools, developed as Software as a Medical Device, from training and testing of prototypes towards clinical applications that address unmet health challenges in precision medicine. These projects are expected to have high potential for demonstrable, positive impact on patient outcomes and/or healthcare processes.
The Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) grant program is designed for researchers, healthcare innovators, and organizations developing artificial intelligence-based clinical decision support (CDS) tools that integrate medical imaging with multimodal health data. This NIH-funded initiative seeks to translate prototype AI systems into clinically validated applications that improve patient outcomes and healthcare delivery across diverse medical conditions. The program is ideal for teams with innovative AI solutions ready to move from development and testing phases toward real-world clinical implementation. Applicants should have demonstrated technical expertise in AI/machine learning, clinical imaging analysis, and multimodal data integration, along with a clear pathway to clinical adoption. The PRIMED-AI program prioritizes projects with high potential for positive impact on precision medicine, addressing unmet clinical needs through sustainable, cost-effective, and reliable AI-driven solutions. Both domestic and international organizations are eligible to apply, making this a global opportunity for advancing AI-enabled personalized medicine strategies that transform clinical workflows and patient care delivery.
Funding Facts
● Applications openDeadline
October 19, 2026
Who can apply
Last verified July 5, 2026 · Source: Grants.gov
Grant Details
Funding Range
Varies by cycle; consult official NOFO
Deadline
2026-10-19
Grant Type
federal
Application Cycle
Annual cycle with October 19, 2026 deadline
Best For
AI/machine learning researchers, healthcare innovators, medical imaging specialists, precision medicine developers, clinical decision support tool creators
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.
Frequently Asked Questions
Who is eligible for Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional)?
Eligible applicants include research institutions, healthcare organizations, and companies developing AI-based clinical decision support tools. Both domestic (U.S.) and non-domestic (international) entities are eligible to apply, as are foreign components of U.S. organizations. Specific eligibility requirements are detailed in Section III of the official Notice of Funding Opportunity (NOFO). Review the complete eligibility criteria on the NIH website to confirm your organization's qualification status before applying.
How much funding does Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional) provide?
Specific funding amounts vary by cycle and project scope. The PRIMED-AI program offers UG3/UH3 mechanism funding to support the transition from prototype development to clinical application. For current funding range details and budget guidelines applicable to your project, consult the official NOFO and NIH grants website, as amounts may change between funding cycles.
How do I apply for Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional)?
Applications are submitted through the NIH grants portal (grants.nih.gov). Prepare a comprehensive application that includes your AI/CDS tool description, imaging and multimodal data integration approach, clinical validation plan, team qualifications, and pathway to clinical adoption. The application deadline is October 19, 2026. Review the complete NOFO for detailed submission requirements, formatting guidelines, and supporting documentation needed. Visit the official NIH PRIMED-AI program page for step-by-step application instructions and technical support.
What can Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional) funding be used for?
Funding supports the development and translation of AI-enabled, image-centered, multimodal clinical decision support tools toward clinical application. This includes prototype refinement, clinical testing, validation, integration into clinical workflows, and demonstration of positive impact on patient outcomes and healthcare processes. Projects may optionally include clinical trials to establish real-world efficacy. Funds support research, development, and operational costs associated with moving AI solutions from laboratory settings into sustainable clinical practice.
Last updated: July 5, 2026