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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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Posts
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portfolio
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publications
A new integrated platform for gathering and managing multivariable and multisensor data in diabetes clinical studies
Published in , 2020
Recommended citation: Luca Cossu, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti, "A new integrated platform for gathering and managing multivariable and multisensor data in diabetes clinical studies.", 2020.
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A New Decision Support System for Type 1 Diabetes Management
Published in , 2021
Recommended citation: G. Cappon, G. Noaro, N. Camerlingo, L. Cossu, G. Sparacino, A. Facchinetti, "A New Decision Support System for Type 1 Diabetes Management.", 2021.
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An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials
Published in Journal of Diabetes Science and Technology, 2021
Recommended citation: 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.
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An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials
Published in , 2022
Recommended citation: Giacomo Cappon, Luca Cossu, Federico Boscari, Daniela Bruttomesso, Giovanni Sparacino, Andrea Facchinetti, "An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials.", 2022.
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Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia
Published in , 2022
Recommended citation: K.A. Schönenberger, L. Cossu, F. Prendin, G. Cappon, J. Wu, K.L. Fuchs, S. Mayer, D. Herzig, A. Facchinetti, L. Bally, "Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia.", 2022.
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Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia
Published in Frontiers in Nutrition, 2022
Recommended citation: K. A. Schönenberger, L. Cossu, F. Prendin, G. Cappon, J. Wu, K. L. Fuchs, S. Mayer, D. Herzig, A. Facchinetti and L. Bally, “Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia”, Frontiers in Nutrition, vol. 9, Apr 2022, DOI: 10.3389/fnut.2022.855223
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BRAINTEASER Architecture for Integration of AI Models and Interactive Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Progression Prediction and Management
Published in , 2023
Recommended citation: V. Urosevic, N. Vojicic, A. Jovanovic, B. Kostic, S. González-Martínez, M. Cabrera-Umpiérrez, M. Ottaviano, L. Cossu, A. Facchinetti, Giacomo Cappon, "BRAINTEASER Architecture for Integration of AI Models and Interactive Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Progression Prediction and Management.", 2023.
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GLUCOMFORT: A noninvasive tattoo-based continuous GLUCOse Monitoring electronic system FOR Type-1 diabetes individuals
Published in , 2023
Recommended citation: L. Cossu, G. Cappon, F. Boscari, A. Maran, S. Lai, E. Scavetta, A. Facchinetti, "GLUCOMFORT: A noninvasive tattoo-based continuous GLUCOse Monitoring electronic system FOR Type-1 diabetes individuals.", 2023.
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Randomized, Double-Blind, Placebo-Controlled Crossover Trial of Once Daily Empagliflozin 25 mg for the Treatment of Postprandial Hypoglycemia After Roux-en-Y Gastric Bypass
Published in , 2023
Recommended citation: Antonio Ferreira, Katja Schönenberger, Natascha Potoczna, Andreas Vogt, Philipp Gerber, Jörg Zehetner, Daniel Giachino, Philipp Nett, Joanna Gawinecka, Luca Cossu, Daniel Fuster, Chiara Man, Andrea Facchinetti, Andreas Melmer, Christos Nakas, Matthias Hepprich, Marc Donath, David Herzig, Lia Bally, "Randomized, Double-Blind, Placebo-Controlled Crossover Trial of Once Daily Empagliflozin 25 mg for the Treatment of Postprandial Hypoglycemia After Roux-en-Y Gastric Bypass.", 2023.
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Relationship Between Symptom Perception and Postprandial Glycemic Profiles in Patients With Postbariatric Hypoglycemia After Roux-en-Y Gastric Bypass Surgery
Published in , 2023
Recommended citation: Afroditi Tripyla, Antonio Ferreira, Katja Schönenberger, Noah Näf, Lukas Inderbitzin, Francesco Prendin, Luca Cossu, Giacomo Cappon, Andrea Facchinetti, David Herzig, Lia Bally, "Relationship Between Symptom Perception and Postprandial Glycemic Profiles in Patients With Postbariatric Hypoglycemia After Roux-en-Y Gastric Bypass Surgery.", 2023.
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System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children
Published in , 2023
Recommended citation: G Cappon, E Pellizzari, L Cossu, G Sparacino, A Deodati, R Schiaffini, S Cianfarani, A Facchinetti, "System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children.", 2023.
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Adaptive and self-learning Bayesian filtering algorithm to statistically characterize and improve signal-to-noise ratio of heart-rate data in wearable devices
Published in , 2024
Recommended citation: Luca Cossu, Giacomo Cappon, Andrea Facchinetti, "Adaptive and self-learning Bayesian filtering algorithm to statistically characterize and improve signal-to-noise ratio of heart-rate data in wearable devices.", 2024.
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Automated pipeline for denoising, missing data processing, and feature extraction for signals acquired via wearable devices in multiple sclerosis and amyotrophic lateral sclerosis applications
Published in , 2024
Recommended citation: Luca Cossu, Giacomo Cappon, Andrea Facchinetti, "Automated pipeline for denoising, missing data processing, and feature extraction for signals acquired via wearable devices in multiple sclerosis and amyotrophic lateral sclerosis applications.", 2024.
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Detection of Self-Reported Stress Level from Wearable Sensor Data Using Machine Learning and Deep Learning-Based Classifiers: Is It Feasible?
Published in , 2024
Recommended citation: M. Atzeni, L. Cossu, G. Cappon, M. Vettoretti, "Detection of Self-Reported Stress Level from Wearable Sensor Data Using Machine Learning and Deep Learning-Based Classifiers: Is It Feasible?.", 2024.
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AirPredict: an eHealth platform for asthma management leveraging wearable sensors, digital diaries, and air quality monitoring to optimize patient outcomes
Published in , 2025
Recommended citation: Michele Atzeni, Luca Cossu, Sergio Gaiotti, Giacomo Cappon, Mariaenrica Tinè, Daniele Previtero, Ylenia Padrin, Simonetta Baraldo, Umberto Semenzato, Martina Vettoretti, "AirPredict: an eHealth platform for asthma management leveraging wearable sensors, digital diaries, and air quality monitoring to optimize patient outcomes.", 2025.
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CGM profiling in Roux‐en‐Y gastric bypass, type 1 diabetes and healthy adults: Unmasking deviations from normoglycaemia
Published in , 2025
Recommended citation: Luca Cossu, Andrea Facchinetti, Lia Bally, "CGM profiling in Roux‐en‐Y gastric bypass, type 1 diabetes and healthy adults: Unmasking deviations from normoglycaemia.", 2025.
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Design and Usability Assessment of a User-Centered, Modular Platform for Real-World Data Acquisition in Clinical Trials Involving Post-Bariatric Surgery Patients
Published in , 2025
Recommended citation: Luca Cossu, Giacomo Cappon, Olivia Streicher, David Herzig, Lia Bally, Andrea Facchinetti, "Design and Usability Assessment of a User-Centered, Modular Platform for Real-World Data Acquisition in Clinical Trials Involving Post-Bariatric Surgery Patients.", 2025.
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teaching
Medical Informatics, 2021-2025
Bachelor course, University of Padova, Department of Information Engineering, 2021
Tutor for the course unit Medical Informatics of the Bioengineering course (Bachelor’s degree), School of Engineering, University of Padova (6 credits/CFU, SSD ING/INF-06) (~120 students) since 2021 to now.
Biomedical Wearable Technologies for Healthcare and Wellbeing, 2021/22
Masters course, University of Padova, Department of Information Engineering, 2022
Teaching assistant for the course unit Biomedical Wearable Technologies for Healthcare and Wellbeing of the Bioengineering course (Master’s degree), School of Engineering, University of Padova (6 credits/CFU, SSD ING/INF-06) (~120 students).
Biomedical Wearable Technologies for Healthcare and Wellbeing, 2022/23
Masters course, University of Padova, Department of Information Engineering, 2023
Teaching assistant for the course unit Biomedical Wearable Technologies for Healthcare and Wellbeing of the Bioengineering course (Master’s degree), School of Engineering, University of Padova (6 credits/CFU, SSD ING/INF-06) (~120 students).
Biomedical Wearable Technologies for Healthcare and Wellbeing, 2023/24
Masters course, University of Padova, Department of Information Engineering, 2024
Teaching assistant for the course unit Biomedical Wearable Technologies for Healthcare and Wellbeing of the Bioengineering course (Master’s degree), School of Engineering, University of Padova (6 credits/CFU, SSD ING/INF-06) (~120 students).