CLOSED CFDA 93.847 ↗ Competitive Cooperative Agreement Competitive ~100h typical effort

Single Source for Establishing Pilot/Opportunity program for AI Models to Accelerate Diabetes Research (U24- Clinical Trials not allowed)

🏛 National Institutes of Health (HHS-NIH11)

✓ Free, no account · Source: Grants.gov · Last verified Jul 16, 2026

⏰ Deadline
Jul 5, 2026 ⚠ passed
📅 Fiscal Year
FY 2027
📍 Scope
National

Can you apply?

This grant is for research organizations seeking to establish or advance AI models specifically for diabetes research. Eligible applicants typically include academic medical centers, research institutions, and nonprofit research organizations with NIH 501(c)(3) status or equivalent. Applicants must assemble multidisciplinary teams that include both diabetes research experts and data science/AI specialists. The program funds pilot projects that develop, validate, and disseminate AI foundation models for diabetes—clinical trials are explicitly not supported under this mechanism.

Eligible applicants
Check your eligibility — what type of organization are you?

Not the right fit? Find grants for your organization in 5 questions →

Key dates

  1. Sep 25, 2025 Applications open
  2. Jul 5, 2026 Application deadline
  3. Jan 1, 2027 Award announced
  4. Feb 1, 2027 Project start

Program description

Diabetes has become a major public health challenge due to its high prevalence and chronic nature, with many individuals managing the condition for decades. One major challenge in diabetes is the enormous heterogeneity associated with the disease, which necessitates personalized approaches to its prevention, diagnosis, treatment, and prognosis. To address this, the research field has generated a large amount of complex data, and has accumulated vast prior knowledge about the disease. These data and prior knowledge contain critical, but mostly hidden, information relevant to solving this challenge. However, major hurdles exist in integrating them and extracting predictive signals, including a lack of data science expertise in the diabetes research field and the absence of diabetes-specific data science and AI expert systems, models, and tools. This initiative proposes to address these issues by establishing a pilot funding program that leverages the emerging opportunities from recent data science and AI advances. It will recruit multidisciplinary teams that include both diabetes and data science experts, to (1) develop AI foundation models for diabetes; (2) validate the models with top research questions in diabetes heterogeneity; (3) disseminate the models and engagement the community for further development, validation and application, and; (4) develop use cases that demonstrate models’ potential in accelerating the tempo of research. The expected outcomes include the integration of new AI experts into the diabetes research workforce, the creation of AI models that the average diabetes researcher can use, and informative use cases demonstrating the models’ potential.

All applications will be peer-reviewed and only meritorious applications will be considered for funding. 

Who can apply

Eligible applicants

How to apply

Application links

Key dates & requirements

  • 📅 Expected award date: Jan 1, 2027
  • 🚀 Project start date: Feb 1, 2027

Required documents

  • SF-424 (R&R) or SF-424 (R&R) Application for Federal Assistance
  • Project Narrative/Research Plan
  • Budget and Budget Justification
  • Biographical Sketches of Key Personnel
  • Letters of Support from Collaborating Institutions
  • Data Management and Sharing Plan
  • Vertebrate Animals or Human Subjects sections (if applicable)

Program contact

Funding track record

Recent awards under CFDA 93.847 from the last 3 years — real organizations that won funding through this same program.

47
awards (3 yrs)
$2.1B
total funded
29
unique recipients
$43.8M
average award

Top 10 Largest Recent Awards

  1. $438,527,853
  2. $200,221,259
  3. $152,979,352
  4. $112,529,392
  5. $66,521,567
  6. $45,186,589
  7. $39,699,167
  8. $37,490,770
  9. $34,242,949
  10. $31,624,784

Top States by Funding

  • WA 3 awards $492.3M
  • NC 4 awards $291.6M
  • FL 2 awards $184.1M
  • MA 6 awards $168.4M
  • PA 6 awards $168.1M

Source: USAspending.gov — federal spending transparency. Data covers last 3 years.

Funding history

Annual funding for this program — Federal obligations (CFDA 93.847). How funding has trended year over year.

2024 $1,971,472,000
2025 $2,043,166,000
2026 est. $111,289,000

FAQ

Who can apply for this U24 grant?

Academic research institutions, medical centers, and 501(c)(3) organizations with demonstrated capacity in diabetes research can apply. Teams must include both diabetes experts and AI/data science specialists.

What is the deadline?

The deadline is July 5, 2026. This is a fixed deadline, not rolling.

What activities does this grant support?

This grant funds development of AI foundation models for diabetes, validation with diabetes research questions, community dissemination, and use case demonstration. Clinical trials are not allowed.

Is cost sharing required?

No cost sharing is required for this grant.

What type of funding does this provide?

This is a Cooperative Agreement (U24), meaning NIH expects substantive collaboration with funded recipients throughout the project period.

💡 Tips for applicants

  • Assemble your team early. Strong diabetes-AI collaborations are essential; don't apply with only one type of expert.
  • Focus on heterogeneity. The program targets diabetes complexity and personalized approaches—show how your models address this.
  • Plan for dissemination. Propose concrete mechanisms for sharing models with the broader diabetes research community.
  • Use concrete examples. Demonstrate AI model utility through specific, realistic use cases in diabetes research.
  • Highlight workforce integration. Emphasize how your project brings new AI expertise into the diabetes research field.

⚠️ Common mistakes

Applications fail when teams lack genuine diabetes-AI collaboration—pairing a computer scientist with minimal domain expertise won't succeed. Weak dissemination plans that treat model sharing as secondary, not central, reduce competitiveness. Proposals focusing on novel AI methods rather than solving specific diabetes research challenges miss the program's intent.

Similar grants

Source: Grants.gov · FY 2027 · Last updated May 27, 2026

Federal grant
View program →