New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies (R01 - Clinical Trial Optional)
ClosedNational Institutes of Health
Description
The purpose of this funding opportunity is to support research addressing barriers that limit progress toward more effective open- and closed-loop diabetes control systems. This may include research that addresses: 1) innovation of sensing relevant analytes/physiologic signals; 2) novel formulation and delivery of hormones; 3) artificial intelligence (AI)/machine learning (ML)-driven tools/algorithms; and 4) digital twin modeling to augment decision support and automated control systems with the goal of improving glycemic control, reducing burden of care, and enhancing quality of life of people with T1D].This NOFO is associated with the Special Diabetes Program (https://www.niddk.nih.gov/about-niddk/research-areas/diabetes/type-1-diabetes-special-statutory-funding-program/about-special-diabetes-program) which funds research on the prevention, treatment, and cure of type 1 diabetes and its complications, including unique, innovative, and collaborative research consortia and clinical trials networks
Who can apply
- State governments
- County governments
- City or township governments
- Special district governments
- Independent school districts
- Public and State controlled institutions of higher education
- Native American tribal governments (Federally recognized)
- Public housing authorities / Indian housing authorities
- Native American tribal organizations (other than Federally recognized)
- Nonprofits with 501(c)(3) status (other than higher education)
- Nonprofits without 501(c)(3) status (other than higher education)
- Private institutions of higher education
- For-profit organizations other than small businesses
- Small businesses
- Others
Contact
Division of Diabetes, Endocrinology and Metabolic Diseases<br/>NIDDK_DEM@nih.gov
NIDDK_DEM@nih.gov
- PostedMay 7, 2026
- ClosesJun 17, 2026
- Award ceiling$500,000
- Program funding$3,000,000
- Expected awards5
- CFDA93.847
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