Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.
Recent research is highlighting different approaches that may better predict diabetes risk than current methods.
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, ...
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 ...
One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...
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 ...
One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...
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