PRIMED-AI: Translating Models to Clinic (UG3/UH3 Clinical Trial Optional)
This NIH grant will fund development and clinical testing of AI tools that combine imaging and other health data to improve personalized care for chronic and other conditions.
Funder: National Institutes of Health
Due Dates (Anticipated): June 2026 (Full application/solicitation closing date, projected)
Funding Amounts: Estimated total program funding: $10.2 million; UG3/UH3 phased awards; typical project periods up to 5 years.
Summary: Supports the development and clinical translation of AI-based tools integrating imaging and multimodal health data to advance personalized medicine for chronic and other health conditions.
Key Information: This is a forecasted opportunity; dates and details may change when the official NOFO is released.
Description
This upcoming NIH opportunity aims to accelerate the development and clinical implementation of artificial intelligence (AI) tools that integrate clinical imaging with other health data (e.g., genomics, EHR, laboratory results) to enhance precision medicine for patients with chronic and other health conditions. The program will use a biphasic UG3/UH3 cooperative agreement mechanism:
- UG3 Phase: Focuses on rigorous AI model building, leveraging retrospective analysis and testing of large, interoperable, multimodal datasets. The goal is to establish robust, reliable AI models that improve diagnostic accuracy, prognostic prediction, or therapeutic guidance where current methods are insufficient.
- UH3 Phase: For projects demonstrating strong potential and model readiness, this phase supports evaluation of the real-world clinical utility of the AI-driven clinical decision support (CDS) tool.
The program encourages multidisciplinary collaborations and is particularly relevant for investigators with expertise in AI, imaging, clinical informatics, and multimodal data analysis.
