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New Generation of Glucose Control Technologies Incorporating AI/ML is a funding announcement from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) at NIH that will solicit applications for research to improve open- and closed-loop diabetes control systems for Type 1 diabetes.
Research priorities include innovations in analyte sensing, novel hormone formulation and delivery, AI and machine learning-driven algorithms, and digital twin modeling to enhance glycemic control and quality of life. Awards will use the R01 research project grant activity code. Applications are not yet being solicited but the notice was issued to allow potential applicants time to develop meaningful collaborations.
Eligible applicants include universities, nonprofits, Tribal governments, for-profit organizations, and federal agencies.
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Opportunity Listing - New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies Agency: National Institutes of Health Assistance Listings: 93. 847 -- Diabetes, Digestive, and Kidney Diseases Extramural Research Last Updated: June 18, 2025 View version history on Grants.
gov 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.
Other Native American tribal organizations Nonprofits non-higher education with 501(c)(3) Independent school districts Private institutions of higher education Public and state institutions of higher education Public and Indian housing authorities Federally recognized Native American tribal governments For-profit organizations other than small businesses 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 No documents are currently available.
Link to additional information Estimated Application Due Date : Estimated Due Date Description : Estimated Project Start Date : Funding opportunity number : Cost sharing or matching requirement : Funding instrument type : Opportunity Category Explanation : Category of Funding Activity :
According to the current listing, eligibility includes: Higher ed, nonprofits, small businesses, etc. Confirm the full requirements in the official notice before applying.
The published deadline was June 18, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
New Generation of Glucose Control Technologies Incorporating AI/ML is funded by National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies (R01 - Clinical Trial Optional) is sponsored by National Institutes of Health (NIH). This NIH program focuses on funding research into new glucose control technologies that incorporate AI/ML tools and strategies. Small businesses are eligible to apply to many NIH standard programs, and NIH has specific funding programs for small businesses.
New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies is sponsored by National Institutes of Health. New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies is a forecasted funding opportunity on Grants.gov from National Institutes of Health. Fiscal Year: 2026. Assistance Listing Number(s): 93.847. <p><span style="color: rgb(51, 51, 51);">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;&...
New Generation of Glucose Control Technologies Incorporating AI/ML Tools/Strategies is a grant from the National Institutes of Health (NIH) that funds research advancing open- and closed-loop diabetes control systems. Through the Special Diabetes Program (NIDDK), this R01 opportunity supports innovation in four focus areas: sensing of analytes and physiologic signals, novel hormone formulations and delivery, AI/ML-driven algorithms and decision-support tools, and digital twin modeling. The goal is to improve glycemic control, reduce care burden, and enhance quality of life for people with type 1 diabetes. Eligible applicants include universities, nonprofits, for-profits, tribal governments, and foreign organizations. Clinical trial components are optional.
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