Background The greatest change in the treatment of people living with type 1 diabetes in the
last decade has been the explosion of technology assisting in all aspects of diabetes …

BACKGROUND The glycemic control of automated insulin delivery (AID) systems in
outpatient children and adolescents with type 1 diabetes (T1D) has not been systematically …

Background: Safety and significant improvement in overall glycated hemoglobin (A1C) and
percentage of time spent in (TIR), below (TBR), and above (TAR) glucose range were …

Background: Pivotal trials of diabetes technologies have demonstrated glycemic
improvements; however, these trials include patients of limited diversity and ranges of …

The American Diabetes Association (ADA)“Standards of Care in Diabetes” includes the
ADA's current clinical practice recommendations and is intended to provide the components …

Abstract Background Glycaemic control of Type 1 Diabetes Mellitus (T1DM) remains a
challenge due to hypoglycaemic episodes and the burden of insulin self-management …

There is a paucity of predictive models for uncontrolled diabetes mellitus. The present study
applied different machine learning algorithms on multiple patient characteristics to predict …

Objective: Adults with type 1 diabetes (T1D) are increasingly overweight or obese, in part
due to intensive insulin therapy. Newer non-insulin medications targeting both …

Background: The MiniMed™ 780G system (MM780G) with Guardian™ 4 sensor includes a
100 mg/dL glucose target (GT) and automated insulin corrections up to every 5 min and was …

Introduction and Objective: Most patients with type 1 diabetes (T1D) in the United States are
overweight (OW) or obese (OB), contributing to insulin resistance and suboptimal glucose …