Automating insulin delivery for better blood sugar control in type 1 diabetes
Enabling Fully Automated Closed Loop Control in Type 1 Diabetes Through an Artificial Intelligence Meal Detection Algorithm and Pramlintide
This study is testing a new smart system that helps people with type 1 diabetes manage their blood sugar better by automatically figuring out when they've eaten, so they don’t have to tell it every time, making insulin delivery easier and more accurate.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Oregon Health & Science University NIH-funded |
| Lab location | 1 site (Portland, United States) |
| Project ID | NIH-10897798 on NIH RePORTER |
What this research studies
This research focuses on improving blood sugar management for individuals with type 1 diabetes by developing an artificial intelligence algorithm that can automatically detect meal intake. Currently, existing closed-loop insulin delivery systems require users to manually announce their meals, which can lead to poor glucose control. The study aims to integrate a dual hormone approach using insulin and pramlintide, a hormone that helps regulate blood sugar levels after meals, to enhance the effectiveness of automated insulin delivery. By utilizing continuous glucose monitoring data, the system will aim to provide more accurate insulin dosing without the need for user input regarding meal consumption.
Who could benefit from this research
Good fit: Ideal candidates for this research are adults aged 21 and older who have been diagnosed with type 1 diabetes.
Not a fit: Patients who do not have type 1 diabetes or those who are not able to use insulin therapy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved blood sugar control and reduced complications for patients with type 1 diabetes.
How similar studies have performed: Previous research has shown promise in using automated systems for insulin delivery, but this approach of integrating AI meal detection with dual hormone therapy is relatively novel.
Where this research is happening
Portland, United States
- Oregon Health & Science University — Portland, United States (Active)
Researchers
- Principal investigator: Jacobs, Peter G — Oregon Health & Science University
- Study coordinator: Jacobs, Peter G
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 below.