Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information. - Giacomo Cappon; Martina Vettoretti; Francesca Marturano; Andrea Facchinetti; Giovanni Sparacino (EMBC, 2018)

In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes. - Nunzio Camerlingo; Martina Vettoretti; Simone Del Favero; Giacomo Cappon; Giovanni Sparacino; Andrea Facchinetti (EMBC, 2019)

A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data. - Giacomo Cappon; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (EMBC, 2019)

Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes - An In Silico Proof-of-Concept. - Giacomo Cappon; Andrea Facchinetti; Giovanni Sparacino; Pantelis Georgiou; Pau Herrero (Sensors, 2019)

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)

Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy. - Giulia Noaro; Giacomo Cappon; Giovanni Sparacino; Simone Del Favero; Andrea Facchinetti (EMBC, 2020)

Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors. - Martina Vettoretti; Giacomo Cappon; Andrea Facchinetti; Giovanni Sparacino (Sensors, 2020)

Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers. - Amparo Güemes; Giacomo Cappon; Bernard Hernandez; Monika Reddy; Nick Oliver; Pantelis Georgiou; Pau Herrero (IEEE J. Biomed. Health Informatics, 2020)

A New Decision Support System for Type 1 Diabetes Management. - Giacomo Cappon; Giulia Noaro; Nunzio Camerlingo; Luca Cossu; Giovanni Sparacino; Andrea Facchinetti (EMBC, 2021)

A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes. - Giacomo Cappon; Emanuele Pighin; Francesco Prendin; Giovanni Sparacino; Andrea Facchinetti (EMBC, 2021)

An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management. - Giulia Noaro; Giacomo Cappon; Giovanni Sparacino; Andrea Facchinetti (EMBC, 2021)

Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy. - Giulia Noaro; Giacomo Cappon; Martina Vettoretti; Giovanni Sparacino; Simone Del Favero; Andrea Facchinetti (IEEE Trans. Biomed. Eng., 2021)

System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children. - Giacomo Cappon; Elisa Pellizzari; Luca Cossu; Giovanni Sparacino; Annalisa Deodati; Riccardo Schiaffini; Stefano Cianfarani; Andrea Facchinetti (BSN, 2023)

A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy. - Elisa Pellizzari; Francesco Prendin; Giacomo Cappon; Giovanni Sparacino; Andrea Facchinetti (BSN, 2023)

BRAINTEASER Architecture for Integration of AI Models and Interactive Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Progression Prediction and Management. - Vladimir Urosevic; Nikola Vojicic; Aleksandar Jovanovic; Borko Kostic; Sergio González-Martínez; María Fernanda Cabrera-Umpiérrez; Manuel Ottaviano; Luca Cossu; Andrea Facchinetti; Giacomo Cappon (ICOST, 2023)

A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management. - Giulia Noaro; Taiyu Zhu; Giacomo Cappon; Andrea Facchinetti; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2023)

Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One. - Giacomo Cappon; Francesco Prendin; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (IEEE Trans. Biomed. Eng., 2023)

ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model From Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies. - Giacomo Cappon; Martina Vettoretti; Giovanni Sparacino; Simone Del Favero; Andrea Facchinetti (IEEE Trans. Biomed. Eng., 2023)

Optimizing Remote Health Monitoring for Digital Platforms: Evaluating the Efficacy of Gamification in Enhancing Data Collection. - Luca Cossu; Martina Vettoretti; Giacomo Cappon (MIE, 2024)

Automated pipeline for denoising, missing data processing, and feature extraction for signals acquired via wearable devices in multiple sclerosis and amyotrophic lateral sclerosis applications. - Luca Cossu; Giacomo Cappon; Andrea Facchinetti (Frontiers Digit. Health, 2024)

Addressing Current Unmet Clinical Needs by Co-Designing a Novel Web Interface for Decision Support in Pediatric Type 1 Diabetes. - Luca Cossu; Giacomo Cappon; Elisa Pellizzari; Annalisa Deodati; Riccardo Schiaffini; Stefano Cianfarani; Giovanni Sparacino; Andrea Facchinetti (ICHI, 2025)

Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions. - Francesco Prendin; Olivia Streicher; Giacomo Cappon; Eva Rolfes; David Herzig; Lia Bally; Andrea Facchinetti (BMC Medical Informatics Decis. Mak., 2025)