The All of Us Research Program (AoU) is an initiative designed to gather a comprehensive and diverse dataset from at least one million individuals across the USA. This longitudinal cohort study aims ...

This study developed a machine learning algorithm to predict gestational diabetes mellitus (GDM) using retrospective data from 34,387 pregnancies in multi-centers of South Korea. Variables were ...

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 ...

DiaBeats algorithm can be used to screen in low-resource settings, as it can quickly predict diabetes and prediabetes with 97% accuracy. New machine learning and artificial intelligence (AI) technique ...

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 ...

Novel method can help people with type 1 diabetes better manage their glucose levels. The method relies on artificial intelligence (AI) and automated monitoring, reports a new study. Novel algorithm ...

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 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 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 ...

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 ...