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 …

Target-based drug discovery is the dominant paradigm of drug discovery; however, a
comprehensive evaluation of its real-world efficiency is lacking. Here, a manual systematic …

Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …

Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise
care for people with diabetes and adapt treatments for complex presentations. However, the …

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 …

Diabetes mellitus is currently approaching epidemic proportions and disproportionately
affects patients in the hospital setting. In the United States, individuals living with diabetes …

Abstract Purpose of Review Glucose management in the hospital is difficult due to non-static
factors such as antihyperglycemic and steroid doses, renal function, infection, surgical …

Dysglycemia is common among hospitalized patients. Accurate point-of-care (POC) glucose
monitoring is necessary for the safe administration of insulin. Unfortunately, POC glucose …

When interacting with artificial intelligence (AI) in the medical domain, users frequently face
automated information processing, which can remain opaque to them. For example, users …

Background Machine learning (ML) is a subset of Artificial Intelligence (AI) that is used to
predict and potentially prevent adverse patient outcomes. There is increasing interest in the …