Stanford researchers use AI to revolutionize diabetes care

Stanford researchers are leveraging artificial intelligence (AI) to improve diabetes diagnosis and treatment. By analyzing data from existing glucose monitors, their algorithm identifies subtypes of Type 2 diabetes—representing 95% of cases—with 90% accuracy.

This innovation enables personalized treatment plans, reduces healthcare costs, and makes critical health information more accessible, especially for those lacking access to medical facilities.

Type 2 diabetes subtypes can predict risks like kidney and heart issues, but traditional tests are costly and impractical, says endocrinologist Tracey McLaughlin. With AI, these insights become available at home via wearable devices, advancing diabetes care on a global scale.