1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
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.
Get alerted about grants like this
Save a search for “National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH” or related topics and get emailed when new opportunities appear.
Search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
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 :
Based on current listing details, eligibility includes: Higher ed, nonprofits, small businesses, etc. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is June 18, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.