Co-designing a multimodal AI system to map T1D progression
Official title: Co-designing Ethical Multimodal AI Systems for Mapping T1D Progression
Funded at University of Michigan at Ann Arbor · NIH-11556751 · Data updated 2026-11-12
A team at the University of Michigan is building an AI-powered system to combine multiple types of diabetes data to reveal how Type 1 Diabetes progresses.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | September 1, 2025 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $1,990,307 |
| NIH project number | 3OT2OD038003-01S1 |
| Project ID | NIH-11556751 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals with Type 1 Diabetes or at-risk individuals whose data could contribute to understanding disease progression.
✕Less likely to help
People without diabetes or those not contributing data may not directly benefit.
What this research studies
This project will create MAI-DK, a multimodal AI platform that turns diverse diabetes data into knowledge about how T1D changes over time. It brings together genetic, clinical, and biological information with advanced machine learning to identify patterns across organs that influence disease progression. The team will design the system with ethics and co-design principles, and include input from clinicians, researchers, and patients to ensure it serves real-world needs. The effort spans data quality control, AI model development, and stakeholder engagement to translate data into actionable insights.
Why it matters
Potential benefit: If successful, patients and clinicians could gain clearer insights into how T1D progresses and what factors might influence its course.
How similar studies have gone: Previous multimodal data work in diabetes has shown promise, but a comprehensive MAI-DK approach for knowledge generation is innovative in this field.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Liu, Jie — University of Michigan at Ann Arbor
- Study coordinator: Liu, Jie
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.