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 ...

A new machine-learning tool can identify diabetes and prediabetes using ECG data, according to research recently published online in BMJ Innovations. “The motivation for the study was to search for ...

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 ...

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 ...

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 ...

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.

Objective: To compare usual care with nurse-directed care for patients with diabetes. Study Design: Randomized before-after trial. Methods: Diabetic patients were randomly selected for a diabetes ...

Physical activity is one of the most powerful tools for managing diabetes, but experts say exercising safely requires ...