New clinical tool helps predict short-term risk of diabetes complications using routine health data

Researchers at the University of Maryland School of Medicine (UMSOM) have developed and validated a new risk calculator that can estimate an individual patient's short-term risk of developing a range of diabetes-related complications, using information already collected during routine medical care. The findings are published in the journal Nature Communications.

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