A real-world study of 9000 patients with type 2 diabetes in China used cluster analysis to identify three clinical phenotypes ...

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 ...

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 ...

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.

In a retrospective study of the algorithm, McGill researchers used it to analyze blood sugar readings and insulin dosing data collected from 20 users of the Bigfoot Unity system, and found that the ...

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 ...

A Tandem pump built for (Type) 2: President and CEO John Sheridan said the company's expansion was a "natural evolution" of its mission. (Tandem Diabetes Care) Tandem Diabetes Care has secured a new ...

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 ...