Objective: Artificial intelligence and machine learning are transforming many fields including
medicine. In diabetes, robust biosensing technologies and automated insulin delivery …

Over the last few years, technological advances have led to tremendous improvement in the
management of type 1 diabetes (T1D). Artificial pancreas systems have been shown to …

Digital health technologies may support the management and prevention of disease through
personalized lifestyle interventions. Wearables and smartphones are increasingly used to …

Background: Hybrid closed-loop control of glucose levels in people with type 1 diabetes
mellitus (T1D) is limited by the requirements on users to manually announce physical activity …

Digital phenoty** refers to characterizing human bio-behavior through wearables,
personal devices, and digital health technologies. Digital phenoty** in populations facing …

Objective digital data is scarce yet needed in many domains to enable research that can
transform the standard of healthcare. While data from consumer-grade wearables and …

Current artificial pancreas (AP) systems are hybrid closed-loop systems that require manual
meal announcements to manage postprandial glucose control effectively. This poses a …

For individuals diagnosed with diabetes mellitus, it is crucial to keep a record of the
carbohydrates consumed during meals, as this should be done at least three times daily …

Objective Going extended periods of time without eating increases risk for binge eating and
is a primary target of leading interventions for binge‐spectrum eating disorders (B‐EDs) …

Background: Hybrid automated insulin delivery systems enhance postprandial glucose
control in type 1 diabetes, however, meal announcements are burdensome. To overcome …