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Pages
Publications
Implementation of a Python simulator for microbial communities evolution via agent-based modelling Permalink
Published in 18th Annual Meeting of the Bioinformatics Italian Society, 2022
Recommended citation: M. Bellato, A. Calzavara, M. Cappellato, and B. Di Camillo, "Implementation of a Python simulator for microbial communities evolution via agent-based modelling" in 18th Annual Meeting of the Bioinformatics Italian Society, June 27-29, Verona, Italy.
An agent-based simulator for microbial communities’ evolution Permalink
Published in BBCC22-Proceedings, 2022
Recommended citation: Bellato, M., Cappellato, M., Calzavara, A., Rebecca, S., Lucchiari, A., & Di Camillo, B. (2022). An agent-based simulator for microbial communities’ evolution. In BBCC22-Proceedings.
Bactlife: A Dash GUI to simulate bacterial communities evolution
Published in Proceedings of 18th Conference on Computational Intelligence Methods for Bioinformatics & Biostatistics, 2023
Recommended citation: Bellato, M., Cappellato, M., Rebecca, S., Calzavara, A., Lucchiari, A., & Di Camillo, B. (2023). Bactlife: A Dash GUI to simulate bacterial communities evolution. In Proceedings of 18th Conference on Computational Intelligence Methods for Bioinformatics & Biostatistics.
Simulating microbial communities’ evolution via Agent based modelling: a Python tool Permalink
Published in 8th Congress of the National Group of Bioengineering – GNB, 2023
Recommended citation: M. Bellato, M. Cappellato, A. Calzavara, A. Lucchiari, S. Rebecca, and B. Di Camillo, "Simulating microbial communities’ evolution via Agent based modelling: a Python tool" in 8th Congress of the National Group of Bioengineering – GNB, Padova, Italy, Jun 21-23, 2023.
Leveraging T1DEXI Study to Develop Deep Learning Models for Predicting Blood Glucose Levels Permalink
Published in Diabetes technology & therapeutics, 2025
Recommended citation: Calzavara, A., Prendin, F., Cappon, G., & Facchinetti, A. (2025). Leveraging T1DEXI Study to Develop Deep Learning Models for Predicting Blood Glucose Levels. Diabetes technology & therapeutics, 27, e46-e46. doi: 10.1089/dia.2024.78502.abstracts.part2#sec-1
Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose Forecasting Permalink
Published in 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025
Recommended citation: Calzavara, A., Prendin, F., Cappon, G., Del Favero, S., & Facchinetti, A. (2025, July). Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose Forecasting. In 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1-7). IEEE. doi: 10.1109/EMBC58623.2025.11252941
Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 Diabetes Permalink
Published in IEEE Journal of Biomedical and Health Informatics, 2026
Recommended citation: Calzavara, A., Prendin, F., Cappon, G., Del Favero, S., & Facchinetti, A. (2026). Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 Diabetes. IEEE Journal of Biomedical and Health Informatics. doi: 10.1109/JBHI.2025.3630214
Towards Safe and Explainable Glucose Forecasting Using Physiology-Driven Neural Networks
Published in 19th International Conference on Advanced Technology & Treatment for Diabetes – ATTD, 2026
Recommended citation: Calzavara, A., Prendin, F., Cappon, G., & Facchinetti, A. (2026), “Towards Safe and Explainable Glucose Forecasting Using Physiology-Driven Neural Networks”, in the 19th International Conference on Advanced Technology & Treatment for Diabetes – ATTD, Barcelona, Spain, March 11-14, 2026.
Talks
Leveraging T1DEXI Study to Develop Deep Learning Models for Predicting Blood Glucose Levels
Published:
Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose Forecasting
Published:
Teaching
Teaching Assistant for Biomedical Signal Processing
Teaching Assistant, University of Padova, Department of Information Engineering, 2022
Teaching assistant for the course Biomedical Signal Processing in the Bachelor’s degree Program in Biomedical Engineering (L-8) (under the “Mille e una Lode” initiative).
Teaching Assistant for Biological Signal Processing
Teaching Assistant, University of Padova, Department of Information Engineering, 2024
Teaching assistant for the laboratory sessions of Biological Signal Processing in the Master’s degree program in Bioengineering (LM-21).
Teaching Assistant for Medical Informatics
Teaching Assistant, University of Padova, Department of Information Engineering, 2024
Teaching assistant for Medical Informatics in the Bachelor’s degree program (L-8).
Teaching Assistant for Machine Learning for Bioengineering
Teaching Assistant, University of Padova, Department of Information Engineering, 2024
Teaching assistant for the laboratory sessions of Machine Learning for Bioengineering in the Master’s degree program in Bioengineering (LM-21).
Teaching Assistant for Biological Signal Processing
Teaching Assistant, University of Padova, Department of Information Engineering, 2025
Teaching assistant for the laboratory sessions of Biological Signal Processing in the Master’s degree program in Bioengineering (LM-21).
Teaching Assistant for Machine Learning for Bioengineering
Teaching Assistant, University of Padova, Department of Information Engineering, 2025
Teaching assistant for the laboratory sessions of Machine Learning for Bioengineering in the Master’s degree program in Bioengineering (LM-21).