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 ...

The usefulness and relevance of diabetes clinical guidelines are beyond doubt. Their use is widespread among internal medicine clinicians, though they have a weakness: “The most relevant information ...

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 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 ...

Researchers and physicians at Oregon Health & Science University, using artificial intelligence and automated monitoring, have designed a method to help people with type 1 diabetes better manage their ...

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 ...

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 ...