About the opportunity
What this programme is offering
Announced on June 30, 2026, the initiative seeks to support researchers, institutions, and multidisciplinary teams developing reliable, cost-effective AI-based tools that combine medical imaging with diverse health data sources. The programme is designed to transform precision medicine by advancing responsible AI applications capable of improving diagnosis, treatment decisions, and patient outcomes.
PRIMED-AI represents a strategic effort by NIH to address emerging opportunities and challenges within the medical AI landscape by supporting collaborative research, validation systems, data integration frameworks, and pathways for clinical implementation.
PRIMED-AI Programme Focus and Objectives
The PRIMED-AI initiative focuses on integrating clinical imaging data with other biological, clinical, and health-related information to create advanced AI models for personalised medicine.
NIH Announces Five PRIMED-AI Funding Opportunities
The NIH Common Fund is currently accepting applications for five specialised PRIMED-AI funding opportunities designed to support different stages of AI development and implementation.
Genetics
Validation Center Opportunity
The Validation Center funding opportunity (RFA-RM-27-014) will support the establishment of an independent centre responsible for verifying, validating, and assessing uncertainty in AI-enabled tools developed through PRIMED-AI.
The centre will provide critical oversight to ensure that AI models meet standards for accuracy, reliability, and responsible deployment.
Key details:
• Application deadline: October 2, 2026
• Submission deadline: 5:00 PM local time of the applicant organisation
Logistics Center Opportunity
The Logistics Center opportunity (RFA-RM-27-015) will create administrative infrastructure to coordinate PRIMED-AI activities and maximise the impact of funded projects
The centre will operate through three integrated areas:
• Administration
• Evaluation
• Outreach
Key details:
• Application deadline: October 2, 2026
• Submission deadline: 5:00 PM local time of the applicant organisation
Development and Testing of Multi-Use Frameworks Playbook
The Development and Testing of Multi-use Frameworks Playbook opportunity (RFA-RM-27-011) will support projects developing standardised approaches for managing and advancing multimodal AI research.
Supported frameworks will address:
• Responsible AI model usage.
• Error mitigation strategies.
• Technical management of data and algorithms.
• Data ontology and integration.
• Preparation for regulatory approval processes.
Key details:
• Application deadline: October 9, 2026
• Submission deadline: 5:00 PM local time of the applicant organisation
Data-to-Model: An Academic-Industrial Partnership Opportunity
The Data-to-Model: An Academic-Industrial Partnership (D2M-AIP) opportunity (RFA-RM-27-012) will support collaborations between academic institutions and industry partners.
Projects funded through this opportunity will focus on integrating advanced multimodal datasets with clinical imaging information while developing innovative AI-enabled clinical decision support tools.
The initiative encourages multidisciplinary teams working at the pre-competitive development stage to create solutions with broad healthcare applications.
Key details:
• Application deadline: October 19, 2026
• Submission deadline: 5:00 PM local time of the applicant organisation
Model-to-Clinic Opportunity
The Model-to-Clinic (M2C) opportunity (RFA-RM-27-013) will support projects focused on translating validated AI prototypes into practical clinical applications.
Medical Facilities & Services
Projects are expected to demonstrate strong potential for improving patient outcomes and enhancing healthcare delivery processes.
Key details:
• Application deadline: October 19, 2026
• Submission deadline: 5:00 PM local time of the applicant organisation
Information Sessions and Researcher Engagement
To support prospective applicants, NIH will host informational webinars and live question-and-answer sessions covering each funding opportunity.
How to apply