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 ...

Researchers detected hypertension and type 2 diabetes with high accuracy in as little as 5 seconds using machine learning on ...

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 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 ...

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 ...

Bigfoot Biomedical is doing its part to ensure that the possibility of building a smarter diabetes management system is more than just an urban legend. The tech maker has purchased a new algorithm ...

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.

Medial EarlySign – an Israeli health AI company has just announced the commercial availability of its first suite of machine learning-based predictive diabetes risk solutions. Expanding the company’s ...

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 ...

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 ...