AI predicts prediabetes risk in overweight adults
NCT ID NCT06195566
First seen May 08, 2026 · Last updated May 19, 2026 · Updated 1 time
Summary
This study tested a new computer algorithm that uses data from wearable sensors and food diaries to predict a person's real-time risk of developing prediabetes. 77 overweight or obese adults wore glucose monitors and fitness trackers for 4 months. The goal was to see if the algorithm could accurately identify early warning signs, not to treat or reverse the condition.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Locations
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University of Latvia, Faculty of Medicine
Riga, Latvia
Conditions
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