Smart algorithm aims to predict prediabetes before it starts
Knowledge-focused
Completed
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 …
Sponsor: Jelizaveta Sokolovska • Aim: Knowledge-focused
Last updated Jun 27, 2026 12:28 UTC