Arguably, diabetes mellitus is one of the best quantified human conditions. In the past 50
years, the metabolic monitoring technologies progressed from occasional assessment of …

Objective: Design and assessment of new therapies for type 1 diabetes (T1D) management
can be greatly facilitated by in silico simulations. The ReplayBG simulation methodology …

Digital twin is a new concept that is rapidly gaining recognition especially in the medical
field. Indeed, being a virtual representation of real-world entities and processes, a digital …

Accurate treatment adjustment to physical activity (PA) remains a challenging problem in
type 1 diabetes (T1D) management. Exercise-driven effects on glucose metabolism depend …

Background Automated insulin delivery (AID) has represented a breakthrough in managing
type 1 diabetes (T1D), showing safe and effective glucose control extensively across the …

Automated insulin delivery systems are becoming increasingly available in the treatment of
type 1 diabetes. They can improve glycemic outcomes while reducing patient burden, but …

Objective: Modeling the effect of meal composition on glucose excursion would help in
designing decision support systems (DSS) for type 1 diabetes (T1D) management. In fact …

Objective Multiple daily injections (MDI) therapy is the most common treatment for type 1
diabetes (T1D), consisting of long-acting insulin to cover fasting conditions and rapid-acting …

Background: Computer simulators of human metabolism are powerful tools to design and
validate new diabetes treatments. However, these platforms are often limited in the diversity …

Individuals with type 1 diabetes (T1D) need life-long insulin therapy to compensate for the
lack of endogenous insulin due to the autoimmune damage to pancreatic beta-cells …