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AI uses simple glucose monitor data to predict and identify subtypes of type 2 diabetes
Diabetes has long been lumped into two categories—type 1, which often appears in childhood, or type 2, which is associated with obesity and typically develops later in life. But scientists have ...
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New Study Uncovers Blood Metabolite Signatures Can Improve Predictions for Type 2 Diabetes Risk
The findings suggest a possible avenue for improving predictions of who may or may not develop diabetes later in life.
RICHMOND, Va. (WRIC) — A research study from the University of Virginia Center for Diabetes Technology suggests that data from continuous glucose monitors (CGMs) can predict the development of serious ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Time-in-range computed from virtual CGM data predicts retinopathy, neuropathy similarly to glycated hemoglobin data. (HealthDay News) — Fourteen-day continuous glucose monitoring (CGM) traces added to ...
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