AI and wearable tech aim to catch prediabetes before it starts
NCT ID NCT07386756
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study will enroll 1,000 adults at high risk for prediabetes to see if continuous glucose monitors (CGMs) combined with artificial intelligence can detect the condition earlier and more accurately than current tests. Participants will wear a CGM and provide other health data. The goal is to build a smarter, personalized system for preventing diabetes.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- continuous glucose monitoring (CGM) device and AI-driven intervention platform
- What this could lead to
- If successful, this could lead to earlier and more accurate detection of prediabetes, allowing for personalized prevention strategies to delay or prevent diabetes.
- What could go wrong
- This is an early-stage observational study, not a treatment trial. The new diagnostic models may not prove more effective than current methods, and results may not apply to all populations.
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.
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