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Giacomo Cappon

Showing results (21-30 of 48) with videos related to

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IEEE Transactions on Bio-Medical Engineering|May 17, 2023
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box OneGiacomo Cappon, Francesco Prendin, Andrea Facchinetti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose ForecastingAndrea Calzavara, Francesco Prendin, Giacomo Cappon, et al.
IEEE Transactions on Bio-Medical Engineering|June 27, 2023
ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model From Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative TherapiesGiacomo Cappon, Martina Vettoretti, Giovanni Sparacino, et al.
IEEE Journal of Biomedical and Health Informatics|January 14, 2026
Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 DiabetesAndrea Calzavara, Francesco Prendin, Giacomo Cappon, et al.
Journal of Diabetes Science and Technology|November 10, 2025
Exploring Relationships Between Maternal Characteristics, Continuous Glucose Monitoring Data, and Neonatal Hypoglycemia in Gestational Diabetes Pregnancies Using Probabilistic ModelingGiacomo Cappon, Marco Catanuso, Erica Tavazzi, et al.
Journal of Diabetes Science and Technology|September 6, 2021
Methods for Insulin Bolus Adjustment Based on the Continuous Glucose Monitoring Trend Arrows in Type 1 Diabetes: Performance and Safety Assessment in an In Silico Clinical TrialGiulia Noaro, Giacomo Cappon, Giovanni Sparacino, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A New Decision Support System for Type 1 Diabetes ManagementGiacomo Cappon, Giulia Noaro, Nunzio Camerlingo, et al.
Journal of Diabetes Science and Technology|December 24, 2023
Design and Usability Assessment of a User-Centered, Modular Platform for Real-World Data Acquisition in Clinical Trials Involving Post-Bariatric Surgery PatientsLuca Cossu, Giacomo Cappon, Olivia Streicher, et al.
BMC Pregnancy and Childbirth|March 17, 2026
Relationship between continuous maternal intrapartum and postpartum glucose monitoring metrics and neonatal outcomes and postpartum glucose metabolism in individuals with gestational diabetesKaren E Elkind-Hirsch, Missy Armatta, Edward Veillon, et al.
Diabetes, Obesity & Metabolism|June 1, 2022
Forecasting postbariatric hypoglycaemia in patients after Roux-en-Y gastric bypass using model-based algorithms fed by continuous glucose monitoring data: A proof-of-concept studyFrancesco Prendin, Giacomo Cappon, Afroditi Tripyla, et al.
Pageof 5

Showing results (21-30 of 48) with videos related to

Sort By:
Pageof 5
IEEE Transactions on Bio-Medical Engineering|May 17, 2023
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box OneGiacomo Cappon, Francesco Prendin, Andrea Facchinetti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose ForecastingAndrea Calzavara, Francesco Prendin, Giacomo Cappon, et al.
IEEE Transactions on Bio-Medical Engineering|June 27, 2023
ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model From Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative TherapiesGiacomo Cappon, Martina Vettoretti, Giovanni Sparacino, et al.
IEEE Journal of Biomedical and Health Informatics|January 14, 2026
Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 DiabetesAndrea Calzavara, Francesco Prendin, Giacomo Cappon, et al.
Journal of Diabetes Science and Technology|November 10, 2025
Exploring Relationships Between Maternal Characteristics, Continuous Glucose Monitoring Data, and Neonatal Hypoglycemia in Gestational Diabetes Pregnancies Using Probabilistic ModelingGiacomo Cappon, Marco Catanuso, Erica Tavazzi, et al.
Journal of Diabetes Science and Technology|September 6, 2021
Methods for Insulin Bolus Adjustment Based on the Continuous Glucose Monitoring Trend Arrows in Type 1 Diabetes: Performance and Safety Assessment in an In Silico Clinical TrialGiulia Noaro, Giacomo Cappon, Giovanni Sparacino, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A New Decision Support System for Type 1 Diabetes ManagementGiacomo Cappon, Giulia Noaro, Nunzio Camerlingo, et al.
Journal of Diabetes Science and Technology|December 24, 2023
Design and Usability Assessment of a User-Centered, Modular Platform for Real-World Data Acquisition in Clinical Trials Involving Post-Bariatric Surgery PatientsLuca Cossu, Giacomo Cappon, Olivia Streicher, et al.
BMC Pregnancy and Childbirth|March 17, 2026
Relationship between continuous maternal intrapartum and postpartum glucose monitoring metrics and neonatal outcomes and postpartum glucose metabolism in individuals with gestational diabetesKaren E Elkind-Hirsch, Missy Armatta, Edward Veillon, et al.
Diabetes, Obesity & Metabolism|June 1, 2022
Forecasting postbariatric hypoglycaemia in patients after Roux-en-Y gastric bypass using model-based algorithms fed by continuous glucose monitoring data: A proof-of-concept studyFrancesco Prendin, Giacomo Cappon, Afroditi Tripyla, et al.
Pageof 5