Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed)
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 solicit applications for the design, development, and preliminary validation of robust frameworks for the application of multimodal-artificial intelligence (AI) models for clinical use. Frameworks developed through these awards would populate a "playbook", defined as a collection of actionable guidelines, standardized protocols, and/or standard operating procedures (SOPs) for reliable and effective development and deployment of multimodal AI tools. It is expected that the frameworks delineated in this playbook will directly address PRIMED-AI objectives and needs, while also remaining flexible enough to enable sufficient extensibility and interoperability for use across a broad spectrum of multimodal biomedical AI applications, both internal.
The Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) grant program is designed for researchers, institutions, and organizations developing innovative artificial intelligence-based clinical decision support (CDS) tools that integrate medical imaging with multimodal health data. This grant funds the design, development, and preliminary validation of robust frameworks that can be applied across diverse clinical settings and health conditions. Applicants should be focused on creating standardized protocols, guidelines, and standard operating procedures (SOPs) that enable reliable deployment of multimodal AI models in clinical workflows. This program is ideal for teams seeking to advance personalized medicine strategies and address significant health challenges through AI integration. The funding supports the creation of a comprehensive playbook of best practices that can be extended across various biomedical AI applications. Organizations developing sustainable, cost-effective AI tools that enhance patient care through imaging and multimodal data integration should consider applying. The program emphasizes frameworks that are flexible, interoperable, and capable of addressing PRIMED-AI objectives while remaining adaptable for broader clinical implementation.
Funding Facts
● Applications openDeadline
October 9, 2026
Award Amount
Up to $300K
Who can apply
Last verified July 5, 2026 · Source: Grants.gov
Grant Details
Grant Amount
Up to $300K
Deadline
2026-10-09
Grant Type
federal
Application Cycle
Annual (Next deadline: October 9, 2026)
Best For
Research institutions, healthcare systems, AI development organizations, academic medical centers, and tech companies focused on precision medicine and clinical AI implementation
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 not eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.
Frequently Asked Questions
Who is eligible for Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed)?
U.S.-based organizations and domestic entities are eligible to apply. Foreign organizations and non-domestic components of U.S. organizations are not eligible. Foreign components, as defined in the NIH Grants Policy Statement, are not allowed. For comprehensive eligibility requirements, including specific institutional qualifications, refer to Section III. Eligibility Information in the official Notice of Funding Opportunity (NOFO) on the NIH website.
How much funding does Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed) provide?
Funding ranges up to $300,000. The specific amount for individual awards may vary based on project scope, institutional capacity, and program priorities. Consult the official NOFO for detailed budget guidelines and any variations by funding cycle.
How do I apply for Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed)?
Applications are submitted through NIH's grants system. The application deadline is October 9, 2026. Visit the official NIH PRIMED-AI program website for detailed instructions, required forms, submission procedures, and any updates to the application process. Review the complete NOFO for specific application requirements and formatting guidelines.
What can Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed) funding be used for?
Funding supports the design, development, and preliminary validation of robust frameworks for multimodal AI model application in clinical settings. This includes creating actionable guidelines, standardized protocols, and standard operating procedures (SOPs) that populate the PRIMED-AI playbook. Funds support development of AI-based clinical decision support tools that integrate imaging with multimodal health data, frameworks designed for extensibility and interoperability across biomedical AI applications, and work addressing significant health challenges through personalized medicine strategies.
Last updated: July 5, 2026