CAPPON, GIACOMO
CAPPON, GIACOMO
Dipartimento di Ingegneria dell'Informazione - DEI
Clinical Efficacy Evaluation of a Continuous Glucose Monitoring-Guided Forecasting Algorithm to Mitigate Postbariatric Hypoglycemia: A Randomized Controlled Trial
2026 Journeaux, Arlette; Zbinden, Selina; Prendin, Francesco; Cossu, Luca; Streicher, Olivia; Rolfes, Eva; Fragozo-Ramos, María Carolina; Piazza, Camillo; Vukovic, Dean; Nett, Philipp; Giachino, Daniel; Zehetner, Joerg; Cappon, Giacomo; Herzig, David; Facchinetti, Andrea; Bally, Lia
Feasibility and benefits of continuous glucose monitoring for type 1 diabetes in Rwanda: A real‐world 12‐month continuation phase
2026 Narayanan, Sandhya; Baker, Jason; Welsh, John B.; Cappon, Giacomo; Habineza, Jean Claude; Niyonsenga, Simon P.
Relationship between continuous maternal intrapartum and postpartum glucose monitoring metrics and neonatal outcomes and postpartum glucose metabolism in individuals with gestational diabetes
2026 Elkind-Hirsch, Karen E.; Armatta, Missy; Veillon, Edward; Schiavon, Sara; Cappon, Giacomo
180-OR: CGM in Early Gestational Diabetes Improves Maternal Glycemic Control and Neonatal Outcomes—The Steady Sugar Trial
2025 ELKIND-HIRSCH, Karen E.; Armatta, Melissa L.; Veillon Jr, Edward W.; Guedry, Stacy; Ballard, Jill; Cappon, Giacomo
Addressing Current Unmet Clinical Needs by Co-Designing a Novel Web Interface for Decision Support in Pediatric Type 1 Diabetes
2025 Cossu, L.; Cappon, G.; Pellizzari, E.; Deodati, A.; Schiaffini, R.; Cianfarani, S.; Sparacino, G.; Facchinetti, A.
AirPredict: an eHealth platform for asthma management leveraging wearable sensors, digital diaries, and air quality monitoring to optimize patient outcomes
2025 Atzeni, Michele; Cossu, Luca; Gaiotti, Sergio; Cappon, Giacomo; Tinè, Mariaenrica; Previtero, Daniele; Padrin, Ylenia; Baraldo, Simonetta; Semenzato, Umberto; Vettoretti, Martina
Assessing the impact of personal exposure to air pollution on asthma control: feasibility study and preliminary findings using the AirPredict eHealth platform
2025 Gaiotti, S.; Atzeni, M.; Cossu, L.; Cappon, G.; Tine, M.; Previtero, D.; Padrin, Y.; Baraldo, S.; Semenzato, U.; Vettoretti, M.
Automatic identification of unreported meals from continuous glucose monitoring data in individuals after bariatric surgery using a template matching algorithm
2025 Pellizzari, E.; Prendin, F.; Cappon, G.; Idi, E.; Del Favero, S.; Herzig, D.; Bally, L.; Facchinetti, A.
Continuous glucose monitoring in early gestational diabetes improves maternal and neonatal outcomes—The Steady Sugar trial
2025 Elkind‐hirsch, Karen; Armatta, Missy; Griffen, Corbin; Welsh, John B.; Veillon, Edward; Guedry, Stacey; Ballard, Jill; Crawford, Margaret A.; Monroy, Angelo; Singh, Harsimran; Cappon, Giacomo
Data Augmentation Via Digital Twins to Develop Personalized Deep Learning Glucose Prediction Algorithms for Type 1 Diabetes in Poor Data Context
2025 Prendin, Francesco; Facchinetti, Andrea; Cappon, Giacomo
Development of Insulin Bolus Calculators in Type 1 Diabetes using A Framework Based on Real-world Data, Digital Twins and Machine Learning
2025 Pellizzari, Elisa; Cappon, Giacomo; Nicolis, Giulia; Sparacino, Giovanni; Facchinetti, Andrea
DIGITAL TWIN-BASED OPTIMIZATION OF BASAL INSULIN IN PEDIATRIC PATIENTS: A FEASIBILITY STUDY
2025 Pellizzari, E; Cappon, G; Sparacino, G; Facchinetti, A
Digital-twin based optimization of bolus insulin dosing in pediatric type 1 diabetes: An in silico feasibility study
2025 Pellizzari, E.; Cappon, G.; Sparacino, G.; Deodati, A.; Schiaffini, R.; Cianfarani, S.; Facchinetti, A.
Enhancing pediatric type 1 diabetes therapy using TWIN, a clinical decision support system based on digital twins
2025 Cossu, L.; Pellizzari, E.; Cappon, G.; Deodati, A.; Schiaffini, R.; Sparacino, G.; Cianfarani, S.; Facchinetti, A.
Enhancing the Physiological Plausibility of GAN-Generated Blood Glucose in Type 1 Diabetes with Monotonicity Constraints
2025 Pellizzari, E.; Mujahid, O.; Prendin, F.; Bustos, O.; Cappon, G.; Facchinetti, A.; Vehi, J.
Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose Forecasting
2025 Calzavara, Andrea; Prendin, Francesco; Cappon, Giacomo; Del Favero, Simone; Facchinetti, Andrea
Exploring Relationships Between Maternal Characteristics, Continuous Glucose Monitoring Data, and Neonatal Hypoglycemia in Gestational Diabetes Pregnancies Using Probabilistic Modeling
2025 Cappon, G.; Marco, Catanuso; Tavazzi, E.; Elkind-Hirsch, K.; Facchinetti, Andrea
Glu4: An open-source package for real-time forecasting and alerting post-bariatric hypoglycemia based on continuous glucose monitoring
2025 Cossu, L.; Prendin, F.; Cappon, G.; Herzig, D.; Bally, L.; Facchinetti, A.
Leveraging T1DEXI Study to Develop Deep Learning Models for Predicting Blood Glucose Levels
2025 Calzavara, Andrea; Prendin, Francesco; Cappon, Giacomo; Facchinetti, Andrea
Machine Learning Diagnostic Models of Prediabetes and Type 2 Diabetes using Continuous Glucose Monitoring data
2025 Gastaldello, Alberto; Cappon, Giacomo; Vettoretti, Martina; Sparacino, Giovanni; Facchinetti, Andrea