CV

Education

• BSc in Information Engineering, University of Padova, 2016
• MSc in Bioengineering, University of Padova, 2019
• PhD in Information Engineering (Bioengineering curriculum), University of Padova, 2025

Academic experience

• 2025-now: Junior PostDoc Research Fellow
  • Department of Information Engineering, University of Padova, Padova, Italy
  • Project: Development of a clinical decision support system for data interpretation and therapy management in pediatric patients with type 1 diabetes
  • Supervisor: Prof. Andrea Facchinetti

Publications

Design and Usability Assessment of a User-Centered, Modular Platform for Real-World Data Acquisition in Clinical Trials Involving Post-Bariatric Surgery Patients

CGM profiling in Roux‐en‐Y gastric bypass, type 1 diabetes and healthy adults: Unmasking deviations from normoglycaemia

AirPredict: an eHealth platform for asthma management leveraging wearable sensors, digital diaries, and air quality monitoring to optimize patient outcomes

Detection of Self-Reported Stress Level from Wearable Sensor Data Using Machine Learning and Deep Learning-Based Classifiers: Is It Feasible?

Automated pipeline for denoising, missing data processing, and feature extraction for signals acquired via wearable devices in multiple sclerosis and amyotrophic lateral sclerosis applications

Adaptive and self-learning Bayesian filtering algorithm to statistically characterize and improve signal-to-noise ratio of heart-rate data in wearable devices

System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children

Relationship Between Symptom Perception and Postprandial Glycemic Profiles in Patients With Postbariatric Hypoglycemia After Roux-en-Y Gastric Bypass Surgery

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

GLUCOMFORT: A noninvasive tattoo-based continuous GLUCOse Monitoring electronic system FOR Type-1 diabetes individuals

BRAINTEASER Architecture for Integration of AI Models and Interactive Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Progression Prediction and Management

Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia

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

Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia

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

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.

A New Decision Support System for Type 1 Diabetes Management

A new integrated platform for gathering and managing multivariable and multisensor data in diabetes clinical studies

Teaching

Biomedical Wearable Technologies for Healthcare and Wellbeing, 2023/24

Biomedical Wearable Technologies for Healthcare and Wellbeing, 2022/23

Biomedical Wearable Technologies for Healthcare and Wellbeing, 2021/22

Medical Informatics, 2021-2025