CV

Education

BSc in Information Engineering, University of Padova, 2014
MSc in Bioengineering, University of Padova, 2016
PhD in Information Engineering (Bioengineering curricula), University of Padova, 2020

Academic Experience

2023-Now: Assistant Professor
- Department of Information Engineering, University of Padova, Padova, Italy
2021-2023: Senior PostDoc Research Fellow
- Department of Information Engineering, University of Padova, Padova, Italy
- Project: Development and clinical assessment of a personalized decision support system for postbariatric hypoglycemia management in people who underwent bariatric surgery
- Supervisor: Prof. Andrea Facchinetti
2019-2021: Junior PostDoc Research Fellow
- Department of Information Engineering, University of Padova, Padova, Italy
- Project: Development and clinical assessment of a mobile platform for personalized decision support in type 1 diabetes therapy
- Supervisor: Prof. Andrea Facchinetti

Publications

Heterogeneity and Nearest-Neighbour Coupling can Explain Small-Worldness and Wave Properties in Pancreatic Islets

Cappon G, Pedersen MG. Heterogeneity and Nearest-Neighbour Coupling can Explain Small-Worldness and Wave Properties in Pancreatic Islets. Chaos. 2016 May;26(5):053103. doi: 10.1063/1.4949020. PMID: 27249943.

A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring

Cappon G, Vettoretti M, Marturano F, Facchinetti A, Sparacino G. A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring. J Diabetes Sci Technol. 2018 Mar;12(2):265-272. doi: 10.1177/1932296818759558. PMID: 29493356; PMCID: PMC5851237.

In Silico Assessment of Literature Insulin Bolus Calculation Methods Accounting for Glucose Rate of Change

Cappon G, Marturano F, Vettoretti M, Facchinetti A, Sparacino G. In Silico Assessment of Literature Insulin Bolus Calculation Methods Accounting for Glucose Rate of Change. J Diabetes Sci Technol. 2019 Jan;13(1):103-110. doi: 10.1177/1932296818777524. Epub 2018 May 31. PMID: 29848104; PMCID: PMC6313276.

Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications

Cappon G, Vettoretti M, Sparacino G, Facchinetti A. Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications. Diabetes Metab J. 2019 Aug;43(4):383-397. doi: 10.4093/dmj.2019.0121. PMID: 31441246; PMCID: PMC6712232.

Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes-An In Silico Proof-of-Concept

Cappon G, Facchinetti A, Sparacino G, Georgiou P, Herrero P. Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes-An In Silico Proof-of-Concept. Sensors (Basel). 2019 Jul 18;19(14):3168. doi: 10.3390/s19143168. PMID: 31323886; PMCID: PMC6679291.

Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers

Guemes A, Cappon G, Hernandez B, Reddy M, Oliver N, Georgiou P, Herrero P. Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers. IEEE J Biomed Health Inform. 2020 May;24(5):1439-1446. doi: 10.1109/JBHI.2019.2938305. Epub 2019 Sep 13. PMID: 31536025.

Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy

Noaro G, Cappon G, Vettoretti M, Sparacino G, Favero SD, Facchinetti A. Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy. IEEE Trans Biomed Eng. 2021 Jan;68(1):247-255. doi: 10.1109/TBME.2020.3004031. Epub 2020 Dec 21. PMID: 32746033.

An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials

Cappon G, Cossu L, Boscari F, Bruttomesso D, Sparacino G, Facchinetti A. An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials. J Diabetes Sci Technol. 2021 Jul 3:19322968211024620. doi: 10.1177/19322968211024620. Epub ahead of print. PMID: 34218721.

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 Trial

Noaro G, Cappon G, Sparacino G, Boscari F, Bruttomesso D, Facchinetti A. 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 Trial. J Diabetes Sci Technol. 2021 Sep 6:19322968211043162. doi: 10.1177/19322968211043162. Epub ahead of print. PMID: 34486426.

AGATA: A Toolbox for Automated Glucose Data Analysis

Cappon G, Sparacino G, Facchinetti A. AGATA: A Toolbox for Automated Glucose Data Analysis. J Diabetes Sci Technol. 2023 Jan 5:19322968221147570. doi: 10.1177/19322968221147570. Epub ahead of print. PMID: 36602030.

Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-box Approaches To a Physiological White-box One

Cappon G, Prendin F, Sparacino G, Facchinetti A, Del Favero S. Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-box Approaches To a Physiological White-box One. IEEE Trans Biomed Eng. 2023 May 17. doi: 10.1109/TBME.2023.3276193. Epub ahead of print. PMID: 37195837.

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

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.

Giacomo Cappon

CV