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Verified government funding opportunities

New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies

Open

National Institutes of Health

Deadline: federal

Updated: Oct 30, 2025

Summary

The grant aims to support research that addresses barriers to effective diabetes control systems, focusing on innovations in sensing, hormone delivery, AI/ML tools, and digital modeling to improve glycemic control and quality of life for individuals with Type 1 Diabetes. Eligible applicants include nonprofit organizations, educational institutions, government entities, and for-profit businesses. While applications are not currently being solicited, interested parties are encouraged to prepare for future submissions and can contact the grantor at ga96b@nih.gov for more information.

Full Description

Description

The NIDDK, intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications for research to overcome 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. Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. This NOFO will utilize the R01-research project grant activity code. Investigators with expertise and insights into this area of science and technology development are encouraged to begin to consider applying for this new NOFO. In addition, collaborative investigations combining expertise in endocrine physiology, behavioral science and interventions, data science, artificial intelligence, machine learning and smart/adaptable algorithms, digital twins, decision support systems, precision and personalized medicine, design of mobile/ wearable devices sensing multiple analytes, hormone formulation and delivery by closed loop systems, in silico modeling, preclinical and clinical testing will be encouraged and these investigators should also begin considering applying for this application. 

Eligibility

Eligible applicants

Nonprofit

  • Other Native American tribal organizations
  • Nonprofits non-higher education with 501(c)(3)

Education

  • Independent school districts
  • Private institutions of higher education
  • Public and state institutions of higher education

Government

  • Public and Indian housing authorities
  • Federally recognized Native American tribal governments
  • State governments
  • County governments

Business

  • For-profit organizations other than small businesses
  • Small businesses

Miscellaneous

  • Other

Additional information

Indian/Native American Tribal Governments (Other than Federally Recognized); Eligible Agencies of the Federal Government; U.S. Territory or Possession; Faith-based or Community-based Organizations; Regional Organizations Non-domestic (non-U.S.) Entities (Foreign Institutions)

Grantor contact information

Description

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Email

ga96b@nih.gov

ga96b@nih.gov

Apply on official siteUpdated Oct 30, 2025

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