Self-managing a chronic condition involves adapting management strategies to life's
continual change. Among these changes, moments of significant life transition can render …

Abstract Type 1 diabetes (T1D) is one of the world's health problems with a prevalence of
1.1 million for children and young adults under the age of 20. T1D is a health problem …

Intelligent machines using machine learning algorithms are ubiquitous, ranging from simple
data analysis and pattern recognition tools to complex systems that achieve superhuman …

Introduction to Modeling in Physiology and Medicine, Second Edition, develops a clear
understanding of the fundamental principles of good modeling methodology. Sections show …

Objective: The automation of insulin treatment is the most challenge aspect of glucose
management for type 1 diabetes owing to unexpected exogenous events (eg, meal intake) …

Objective: Zone model predictive control (MPC) has been proven to be an efficient approach
to closed-loop insulin delivery in clinical studies. In this paper, we aim to safely reduce mean …

Objective: Type-1 diabetes (T1D) treatment requires exogenous insulin administrations
finely tuned based on glucose monitoring to avoid hyper/hypoglycemia. The safety and …

The last decade has seen tremendous improvements in technologies for Type 1 Diabetes
(T1D) management, in particular the so-called artificial pancreas (AP), a wearable closed …

Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are
commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The …

This paper presents a comprehensive survey about the fundamental components of the
artificial pancreas (AP) system including insulin administration and delivery, glucose …