Developing the UVA/Padova type 1 diabetes simulator: modeling, validation, refinements, and utility

C Cobelli, B Kovatchev - Journal of Diabetes Science and …, 2023 - journals.sagepub.com
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 …

Data-enabled learning and control algorithms for intelligent glucose management: the state of the art

D Cai, W Wu, M Cescon, W Liu, L Ji, D Shi - Annual Reviews in Control, 2023 - Elsevier
External insulin administration is an effective way for patients with diabetes mellitus to
regulate their blood glucose. Multiple daily injections (MDIs), sensor-augmented pump …

Advanced hybrid artificial pancreas system improves on unannounced meal response-In silico comparison to currently available system

J Garcia-Tirado, D Lv, JP Corbett, P Colmegna… - Computer Methods and …, 2021 - Elsevier
Background and objective: Glycemic control, especially meal-related disturbance rejection,
has proven to be a major challenge for people with type 1 diabetes. In this manuscript, we …

Anticipation of historical exercise patterns by a novel artificial pancreas system reduces hypoglycemia during and after moderate-intensity physical activity in people …

J Garcia-Tirado, SA Brown, N Laichuthai… - Diabetes Technology …, 2021 - liebertpub.com
Objective: Physical activity is a major challenge to glycemic control for people with type 1
diabetes. Moderate-intensity exercise often leads to steep decreases in blood glucose and …

Incorporating prior information in adaptive model predictive control for multivariable artificial pancreas systems

X Sun, M Rashid, N Hobbs, R Brandt… - Journal of Diabetes …, 2022 - journals.sagepub.com
Background: Adaptive model predictive control (MPC) algorithms that recursively update the
glucose prediction model are shown to be promising in the development of fully automated …

Automatic glucose control during meals and exercise in type 1 diabetes: Proof-of-concept in silico tests using a switched LPV approach

PH Colmegna, FD Bianchi… - IEEE Control Systems …, 2020 - ieeexplore.ieee.org
Keeping the blood glucose levels within the safe range during meals and exercise still
represents a major hurdle not only for patients with type 1 diabetes (T1D), but also for …

A simple and fast robust nonlinear model predictive control heuristic using n-steps-ahead uncertainty predictions for back-off calculations

HA Krog, J Jäschke - Journal of Process Control, 2024 - Elsevier
A new robust nonlinear model predictive control (RNMPC) heuristic is proposed, specifically
developed to be i) easy to implement, ii) robust against constraint violations and iii) fast to …

The Padova Type 2 Diabetes Simulator from Triple-Tracer Single-Meal Studies: In Silico Trials Also Possible in Rare but Not-So-Rare Individuals

R Visentin, C Cobelli, C Dalla Man - Diabetes technology & …, 2020 - liebertpub.com
Background: In silico trials in type 2 diabetes (T2D) would be useful for testing diabetes
treatments and accelerating the development of new antidiabetic drugs. In this study, we …

Using an online disturbance rejection and anticipation system to reduce hyperglycemia in a fully closed-loop artificial pancreas system

JP Corbett, J Garcia-Tirado… - Journal of Diabetes …, 2022 - journals.sagepub.com
Introduction: Hyperglycemia following meals is a recurring challenge for people with type 1
diabetes, and even the most advanced available automated systems currently require …

Virtual Reality Meets Diabetes

N Vaughan - Journal of Diabetes Science and Technology, 2024 - journals.sagepub.com
Background: This article provides a detailed summary of virtual reality (VR) and augmented
reality (AR) applications in diabetes. The purpose of this comparative review is to identify …