A new study led by Marc D. Breton, PhD, found that a University of Virginia Center for Diabetes Technology-developed algorithm – paired with a continuous glucose monitor – can help users better manage ...

Cyndi Williams never meant to get into healthcare. A chemical engineer by training and a one-time software engineer by trade, she’d spent much of her career on the business side of tech, working with ...

A landmark study by the German Diabetes Center (DDZ), published in The Lancet Diabetes & Endocrinology, sheds new light on the heterogeneity of type 2 diabetes. The researchers have employed an ...

A new system that combines high-speed video and an artificial intelligence (AI)-powered algorithm may offer quick, no-contact screenings for high blood pressure and Type 1 or Type 2 diabetes without ...

A new computer algorithm can predict in the early stages of pregnancy, or even before pregnancy has occurred, which women are at a high risk of gestational diabetes - according to a study by ...

A University of Virginia Center for Diabetes Technology-developed algorithm—paired with a continuous glucose monitor—can help users better manage their type 2 diabetes by recommending insulin-dose ...

New research set to be presented next week at the American College of Cardiology’s 68th Annual Scientific Session describes how the camera on a smartphone could be used to screen for Type 2 diabetes.

Algorithms applied to electronic health record data can identify more cases of undetected diabetes in patients than claims codes, and discriminates between type 1 and type 2 diabetes, according to a ...