AI can detect prediabetes using CGM data

After analyzing 600 people wearing a continuous glucose monitor for an average of 12 days, Klick Applied Sciences says it can use data with artificial intelligence (AI) to identify healthy, prediabetic and diabetic individuals within 12 hours.

Klick found that its 12-hour model correctly identified two-thirds of patients with prediabetes and achieved “high accuracy” in detecting healthy individuals and people with Type 2 diabetes.

“An overwhelming majority of people with early-onset diabetes are not aware of their condition and don’t consult a physician until their ability to control their blood sugar levels is irreparably damaged,” Michael Lieberman, managing director of research and development at Klick, said in a statement. “Our research has tremendous potential to help move blood glucose digital biomarkers into a position where they can be an invaluable tool for physicians for preventing diabetes before it starts.”

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