As a subfield of machine learning, reinforcement learning (RL) aims at optimizing decision
making by using interaction samples of an agent with its environment and the potentially …

Discovering new treatments and personalizing existing ones is one of the major goals of
modern clinical research. In the last decade, Artificial Intelligence (AI) has enabled the …

Background Reinforcement learning (RL) is a computational approach to understanding and
automating goal-directed learning and decision-making. It is designed for problems which …

People with Type 1 diabetes (T1D) require regular exogenous infusion of insulin to maintain
their blood glucose concentration in a therapeutically adequate target range. Although the …

The widespread adoption of effective hybrid closed loop systems would represent an
important milestone of care for people living with type 1 diabetes (T1D). These devices …

COVID-19 has changed the lifestyle of many people due to its rapid human-to-human
transmission. The spread started at the end of January 2020, and different countries used …

Diabetes mellitus is a disease associated with abnormally high levels of blood glucose due
to a lack of insulin. Combining an insulin pump and continuous glucose monitor with a …

Background: Type 1 diabetes mellitus (T1DM) is characterized by chronic insulin deficiency
and consequent hyperglycemia. Patients with T1DM require long-term exogenous insulin …

Many individuals with diabetes on multiple daily insulin injections therapy use carbohydrate
ratios (CRs) and correction factors (CFs) to determine mealtime and correction insulin …

Background Type-2 diabetes mellitus is characterized by insulin resistance and impaired
insulin secretion in the human body. Many endeavors have been made in terms of …