Timely prediction may help prevent the condition using nutritional and lifestyle changes. A new computer algorithm can predict in the early stages of pregnancy, or even before pregnancy has occurred, ...

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 ...

NUS researchers have developed a clinical algorithm (flowchart) for individuals in Singapore with type 2 diabetes to manage their diabetic condition when they fast during Ramadan. A research team led ...

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 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 ...

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 ...

SEATTLE — The latest American Association of Clinical Endocrinology (AACE) type 2 diabetes management algorithm uses graphics to focus on individualized care while adding newly compiled information ...

Researchers and physicians have designed a method to help people with type 1 diabetes better manage their glucose levels. The method relies upon artificial intelligence and automated monitoring.

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 ...