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Simone Del Favero

Showing results (31-40 of 75) 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.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 DiabetesNunzio Camerlingo, Martina Vettoretti, Simone Del Favero, et al.
Diabetes Technology & Therapeutics|July 24, 2019
A Real-Time Continuous Glucose Monitoring-Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic EventsNunzio Camerlingo, Martina Vettoretti, Simone Del Favero, et al.
IEEE Transactions on Bio-Medical Engineering|August 4, 2020
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes TherapyGiulia Noaro, Giacomo Cappon, Martina Vettoretti, et al.
IEEE Transactions on Bio-Medical Engineering|March 3, 2025
Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors DataEleonora Manzoni, Elena Idi, Nunzio Camerlingo, et al.
Scientific Reports|October 6, 2023
The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAPFrancesco Prendin, Jacopo Pavan, Giacomo Cappon, et al.
Journal of Diabetes Science and Technology|May 12, 2021
Impact of Carbohydrate Counting Error on Glycemic Control in Open-Loop Management of Type 1 Diabetes: Quantitative Assessment Through an In Silico TrialChiara Roversi, Martina Vettoretti, Simone Del Favero, et al.
IEEE Transactions on Bio-Medical Engineering|April 8, 2023
An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With WarfarinEdoardo Faggionato, Alessandro Guazzo, Elena Pegolo, et al.
Pageof 8

Showing results (31-40 of 75) with videos related to

Sort By:
Pageof 8
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.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 DiabetesNunzio Camerlingo, Martina Vettoretti, Simone Del Favero, et al.
Diabetes Technology & Therapeutics|July 24, 2019
A Real-Time Continuous Glucose Monitoring-Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic EventsNunzio Camerlingo, Martina Vettoretti, Simone Del Favero, et al.
IEEE Transactions on Bio-Medical Engineering|August 4, 2020
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes TherapyGiulia Noaro, Giacomo Cappon, Martina Vettoretti, et al.
IEEE Transactions on Bio-Medical Engineering|March 3, 2025
Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors DataEleonora Manzoni, Elena Idi, Nunzio Camerlingo, et al.
Scientific Reports|October 6, 2023
The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAPFrancesco Prendin, Jacopo Pavan, Giacomo Cappon, et al.
Journal of Diabetes Science and Technology|May 12, 2021
Impact of Carbohydrate Counting Error on Glycemic Control in Open-Loop Management of Type 1 Diabetes: Quantitative Assessment Through an In Silico TrialChiara Roversi, Martina Vettoretti, Simone Del Favero, et al.
IEEE Transactions on Bio-Medical Engineering|April 8, 2023
An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With WarfarinEdoardo Faggionato, Alessandro Guazzo, Elena Pegolo, et al.
Pageof 8