Brief Voice Samples Can Help Identify Risk of Type 2 Diabetes

Researchers trained an algorithm on thousands of voice recordings to spot subtle vocal indicators associated with diabetes. During initial testing, the model correctly identified type 2 diabetes in 82 percent of affected subjects after analyzing a 20 second reading clip. While promising as a preliminary screening tool, formal medical testing remains essential for diagnosis.