Pharmacotherapy guidelines for type 2 diabetes (T2D) emphasize patient-centered care, but applying this approach effectively in outpatient practice remains challenging. Data-driven treatment ...
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 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 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 ...
The American College of Physicians issued new guidelines for Type 2 diabetes treatment, which for the first time recommends the use of GLP-1s and another class of diabetes drugs called SGLT-2s ...
The latest type 2 diabetes (T2D) management guidance from the American Association of Clinical Endocrinology (AACE) covers newer diabetes medications, comorbidities, and — for the first time — ...
Diabetes mellitus (DM) is a systemic disease associated with various health problems, which lower life quality and cause a higher mortality rate among patients 1. According to a global report on ...
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 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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results