AI-Powered Wearables Transform Diabetes Detection to Uncover Hidden Cases

Current diabetes diagnosis methods relying on blood glucose measurements miss millions in early disease stages, leaving 115 million Americans unaware they have prediabetes. Researchers are pioneering AI-driven approaches using continuous glucose monitors and biomarkers to detect metabolic dysfunction earlier, particularly addressing racial disparities in existing diagnostic accuracy. Early detection is critical to prevent serious complications like heart disease, kidney failure, and blindness before irreversible damage occurs.