Smart insulin pump learns your eating habits to automate diabetes care
NCT ID NCT07517770
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether adding artificial intelligence to an automated insulin delivery system can improve blood sugar control for people with type 1 diabetes. The AI learns each person's meal patterns and automatically gives insulin boluses without requiring them to announce meals. Fifty adults currently using an insulin pump will try the AI-enhanced system for four weeks, and researchers will compare their blood sugar time in range to when they use their own pump or the standard automated system.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-enhanced insulin pump algorithm (AIDANET with Bolus Priming)
- What this could lead to
- If successful, this could make managing type 1 diabetes easier by reducing the need for manual meal announcements and improving time in range.
- What could go wrong
- This is a small, early-stage study with only 50 participants, so results may not apply to everyone. The AI system may not work well for all meal patterns or could cause unexpected blood sugar swings.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
University of Virginia Center for Diabetes Technology
Charlottesville, Virginia, 22903, United States
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