A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes. - Giacomo Cappon; Lorenzo Meneghetti; Francesco Prendin; Jacopo Pavan; Giovanni Sparacino; Simone Del Favero; Andrea Facchinetti (KDH@ECAI, 2020)

Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction. - Jacopo Pavan; Francesco Prendin; Lorenzo Meneghetti; Giacomo Cappon; Giovanni Sparacino; Andrea Facchinetti; Simone Del Favero (KDH@ECAI, 2020)

A PID Control Algorithm for a Post-Prandial Hypoglycemic Clamp Study. - Jacopo Pavan; Chiara Dalla Man; David Herzig; Lia Bally; Simone Del Favero (EMBC, 2021)

Gluclas: A software for computer-aided modulation of glucose infusion in glucose clamp experiments. - Jacopo Pavan; Chiara Dalla Man; David Herzig; Lia Bally; Simone Del Favero (Comput. Methods Programs Biomed., 2022)

Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabetes. - Jacopo Pavan; Domenico Salvagnin; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (IEEE Trans. Control. Syst. Technol., 2023)

Including the Planning of Orally-Ingested Carbohydrates in a Zone Model Predictive Control for Artificial Pancreas. - Lorenzo Cester; Jacopo Pavan; Simone Del Favero (CDC, 2024)

A strategy based on integer programming for optimal dosing and timing of preventive hypoglycemic treatments in type 1 diabetes management. - Jacopo Pavan; Giulia Noaro; Andrea Facchinetti; Domenico Salvagnin; Giovanni Sparacino; Simone Del Favero (Comput. Methods Programs Biomed., 2024)

Human-machine co-adaptation to automated insulin delivery: a randomised clinical trial using digital twin technology. - Boris P. Kovatchev; Patricio Colmegna; Jacopo Pavan; Jenny Lorena Diaz Castañeda; María F. Villa-Tamayo; Chaitanya L. K. Koravi; Giulio Santini; Carlene Alix; Meaghan Stumpf; Sue A. Brown (npj Digit. Medicine, 2025)