ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model from Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies

Published in IEEE Transactions on Biomedical Engineering, 2023

Recommended citation: Cappon G, Vettoretti M, Sparacino G, Del Favero S, Facchinetti A. ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model from Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies. IEEE Trans Biomed Eng. 2023 Jun 27. doi: 10.1109/TBME.2023.3286856. Epub ahead of print. PMID: 37368794. http://gcappon.github.io/files/cappon_tbme_2023.pdf

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Recommended citation: Cappon G, Vettoretti M, Sparacino G, Del Favero S, Facchinetti A. ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model from Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies. IEEE Trans Biomed Eng. 2023 Jun 27. doi: 10.1109/TBME.2023.3286856. Epub ahead of print. PMID: 37368794.