Using AI to improve glucose control in diabetes management
Official title: SCH: Integrating AI and System Engineering for Glucose Regulation in Diabetes
Funded at Illinois Institute of Technology · NIH-10904740 · Data updated 2026-11-12
This study is testing a smart insulin delivery system that uses technology to automatically adjust insulin based on your real-time glucose levels and daily activities, making it easier for people with diabetes to manage their blood sugar without having to do it all manually.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Illinois Institute of Technology NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project start | September 19, 2022 |
| Project end | July 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $285,717 |
| NIH project number | 5R01DK135116-03 |
| Project ID | NIH-10904740 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with Type 1 diabetes who experience challenges in managing their blood glucose levels.
✕Less likely to help
Patients with Type 2 diabetes or those who do not require insulin therapy may not benefit from this research.
What this research studies
This research aims to create an advanced automated insulin delivery system, known as a multivariable automated insulin delivery (mvAID) system, which utilizes artificial intelligence and systems engineering. By analyzing real-time data from continuous glucose monitors, insulin pumps, and wearable activity trackers, the system will automatically adjust insulin delivery without requiring manual input from users. This innovative approach seeks to address the challenges posed by meals, physical activities, psychological stress, and sleep irregularities on blood glucose levels, ultimately providing a more seamless management experience for individuals with diabetes.
Why it matters
Potential benefit: If successful, this research could lead to improved glucose regulation and a better quality of life for patients with diabetes.
How similar studies have gone: Previous research has shown promise in using automated insulin delivery systems, but this approach integrates novel AI techniques, making it a potentially groundbreaking advancement.
Where this research is happening
-
Illinois Institute of Technology
Chicago, United States Active
Researchers
- Principal investigator: Cinar, Ali — Illinois Institute of Technology
- Study coordinator: Cinar, Ali
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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.