New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies
This upcoming NIDDK grant will fund research on innovative AI/ML-powered technologies to improve diabetes management and quality of life for people with type 1 diabetes.
Funder: National Institutes of Health
Due Dates: June 17, 2026: Full application deadline
Funding Amounts: Up to $500,000 per award; estimated total program funding $3,000,000; approx. 5 awards expected.
Summary: Supports research to advance open- and closed-loop diabetes control technologies, with emphasis on AI/ML-driven tools and digital twin modeling for improved glycemic control and quality of life in type 1 diabetes.
Description
This funding opportunity from the National Institutes of Health (NIH) aims to support research that addresses key barriers to the development of more effective open- and closed-loop diabetes control systems. Projects may focus on innovations in sensing physiologic signals, novel hormone formulation and delivery, the integration of artificial intelligence (AI) and machine learning (ML) algorithms, and digital twin modeling to enhance decision support and automated control systems. The overarching goal is to improve glycemic control, reduce care burden, and enhance the quality of life for individuals with type 1 diabetes (T1D). This Notice of Funding Opportunity (NOFO) is associated with the Special Diabetes Program, which funds cutting-edge research on the prevention, treatment, and cure of T1D and its complications.
