Smart algorithm aims to predict prediabetes before it starts
NCT ID NCT06195566
First seen Jun 27, 2026 · Last updated Jun 27, 2026
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 collect data to improve the algorithm, not to treat or prevent the condition.
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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
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University of Latvia, Faculty of Medicine
Riga, Latvia
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