Method for automatic adjustment of an insulin bolus calculator: In silico robustness evaluation under intra-day variability

TL;DR: This review covers common sources for bolus advisor error such as the selection of physiologically inappropriate bolus Advisor settings, the use of short duration of insulin action times, poor algorithm logic that tends to cover all carb intake fully, and an excessive reliance on simplistic dosing algorithms.

TL;DR: The proposed model outperforms previous T1DM control-oriented models, which could potentially lead to more robust and reliable controllers for glycemia regulation.

TL;DR: A novel technique based on a run-to-run control law that overcomes some of the limitations of previously proposed methods is presented and shows the potential of a novel technique to effectively adjust the basal insulin profile of a type 1 diabetes population on sensor-augmented insulin pump therapy.

TL;DR: CGM data, together with commonly recorded inputs (carbohydrate intake and bolus insulin), can be used to develop an algorithm that allows classifying, at meal-time, the post-prandial glycemic status, and the XGB algorithm outcome can be exploited to improve glycemic control in T1D through real-time adjustment of the meal insulin bolus.

TL;DR: A new simulation model in normal humans that describes the physiological events that occur after a meal, by employing the quantitative knowledge that has become available in recent years, is presented.

TL;DR: A system for in silico testing of control algorithms that has been shown to represent adequate glucose fluctuations in T1DM observed during meal challenges, and has been accepted by the Food and Drug Administration as a substitute to animal trials in the preclinical testing of closed-loop control strategies.

TL;DR: As compared with an insulin pump, a wearable, bihormonal, automated, "bionic" pancreas improved mean glycemic levels, with less frequent hypoglycemic episodes, among both adults and adolescents with type 1 diabetes mellitus.

TL;DR: Benefit of CGM for patients starting on CGM sensor augmented insulin pump therapy compared to patients using multiple daily injections of insulin (MDI) and standard monitoring blood glucose (SMBG) is indicated.