Machine-learning model helps detect diabetic patients at risk for kidney damage

Medial EarlySign touted data today from a study of its algorithm designed to identify diabetic patients who have the highest risk of developing renal dysfunction.

The company’s machine-learning model looks at data from electronic health records to make predictions about patients’ health. In this study, the company reported that the algorithm identified 45% of patients who experienced significant kidney damage within one year – 25% more patients than commonly-used clinical tools would have detected, according to Medial EarlySign.

Get the full story at our sister site, Drug Delivery Business News.

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