National Institutes of Health logo

Multimodal AI to Accelerate Precision Medicine for Type 1 Diabetes (U01- Clinical Trials Not Allowed)

National Institutes of Health

Federal

Funding Amount

Not stated

Deadline

Forecast — expected February 10, 2027

Forecast by the agency; not yet open

Number of Awards

1

Grant Type

Federal

Deadline history & next window

Cycle
Not stated
Next expected
February 10, 2027
Tracked since
September 2026

Forecast: expected to post December 1, 2026; applications expected due February 10, 2027.

Source: Grants.gov forecast for this opportunity.

Can we apply?

Check your organization against each line. Taken from the listing; confirm with the funder's guidelines.

Eligible organizations

  • Small businesses
  • Tribal organizations
  • Public & Indian housing authorities
  • Nonprofits (501(c)(3))
  • For-profit businesses
  • City & township governments
  • Nonprofits without 501(c)(3) status
  • Public colleges & universities

Geography

  • Territory or Possession;Faith-based or Community-based Organizations;Regional Organizations;Non-domestic (non-U.S.) Entities (Foreign Institutions).

Overview

Type 1 diabetes (T1D) is a complex disease involving interactions among many different cell types, tissues, organs and biological processes. Genetics, the environment, and lifestyle all play a role in disease development and progression. Over the past two decades, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) has supported major T1D research consortia covering basic, translational, and clinical research. Each consortium has focused on different aspects of T1D, such as specific organs, stages of disease or clinical outcomes. Together, these consortia have collected large longitudinal and multimodal datasets using standardized protocols and coordinated studies. This integrated view can answer fundamental questions about T1D biology that cannot be answered using individual datasets or studies alone.

Recent advances in artificial intelligence (AI) now make it possible to integrate these complementary datasets and study T1D across various tissues, disease stages, and biological levels. Building on these resources, NIDDK will support a coordinated, milestone-driven research project to answer fundamental questions about T1D biology and accelerate the development of personalized medicine.

The project will combine multimodal human pancreas and clinical datasets to better understand how biological processes interact as T1D develops and progresses. The research will generate new insights into T1D biology, help us understand the different forms and stages of T1D, identify biomarkers, and inform new approaches for disease prevention, intervention, and treatment.  To support the research, the project will develop and test advanced multimodal AI models. It will also develop AI-enabled research workflows, new methods to integrate data, and privacy-preserving synthetic datasets.

Full eligibility text

Other Eligible ApplicantsIndian/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).

Focus Areas & Funding Uses

Fields of Work

  • Health

Related Grants

Open grants from this funder and similar programs

Your AI grants department

Ready to apply for Multimodal AI to Accelerate Precision Medicine for Type 1 Diabetes (U01- Clinical Trials Not Allowed)?

Grantable helps you assess fit, draft narratives, and track deadlines — so you can submit stronger applications, faster.

You found Multimodal AI to Accelerate Precision Medicine for Type 1 Diabetes (U01- Clinical Trials Not Allowed). Now let's win it.

Start writing