World's Best Scientists 2026 revealed!
Andrea Facchinetti

Andrea Facchinetti

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
6876
World Ranking
5255
National Ranking
161

Overview

Andrea Facchinetti is affiliated with the University of Padua in Italy. Their research primarily focuses on the field of Medicine, with extensive work in subfields such as Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Physiology, and Biomedical Engineering.

The main topics of Facchinetti's research include:

  • Diabetes Management and Research
  • Diabetes and associated disorders
  • Pancreatic function and diabetes
  • Diabetes Treatment and Management
  • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Bariatric Surgery and Outcomes
  • Diet and metabolism studies

The scientist has published extensively, with frequent appearances in specific academic journals and venues. The most common publication venues for Facchinetti's work are:

  • Journal of Diabetes Science and Technology
  • IEEE Transactions on Biomedical Engineering
  • Diabetes Technology & Therapeutics
  • Diabetes Obesity and Metabolism
  • Computer Methods and Programs in Biomedicine

Recent papers by Andrea Facchinetti include the following:

  • Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors, 2020, Sensors
  • The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP, 2023, Scientific Reports
  • Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities, 2023, IEEE Reviews in Biomedical Engineering
  • Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only, 2021, Sensors
  • Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy, 2020, IEEE Transactions on Biomedical Engineering

Frequent collaborators in their research include:

  • Giovanni Sparacino
  • Simone Del Favero
  • Giacomo Cappon
  • Martina Vettoretti
  • Francesco Prendin

Best Publications

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

    Giacomo Cappon;Martina Vettoretti;Giovanni Sparacino;Andrea Facchinetti

  • Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series

    G. Sparacino;F. Zanderigo;S. Corazza;A. Maran

  • Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring.

    C Pérez-Gandía;A Facchinetti;G Sparacino;C Cobelli

  • Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results.

    Boris Kovatchev;Claudio Cobelli;Eric Renard;Stacey Anderson

  • Wearable Continuous Glucose Monitoring Sensors: A Revolution in Diabetes Treatment

    Giacomo Cappon;Giada Acciaroli;Martina Vettoretti;Andrea Facchinetti

  • Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration

    C. Zecchin;A. Facchinetti;G. Sparacino;G. De Nicolao

  • Continuous Glucose Monitoring Sensors: Past, Present and Future Algorithmic Challenges.

    Andrea Facchinetti

  • Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier

    Daniela Bruttomesso;Anne Farret;Silvana Costa;Maria Cristina Marescotti

  • Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms

    Marco Falda;Stefano Toppo;Alessandro Pescarolo;Enrico Lavezzo

  • Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.

    Martina Vettoretti;Giacomo Cappon;Andrea Facchinetti;Giovanni Sparacino

  • Modeling the Glucose Sensor Error

    Andrea Facchinetti;Simone Del Favero;Giovanni Sparacino;Jessica R. Castle

  • Real-Time Improvement of Continuous Glucose Monitoring Accuracy: The smart sensor concept

    Andrea Facchinetti;Giovanni Sparacino;Stefania Guerra;Yoeri M. Luijf

  • Calibration of Minimally Invasive Continuous Glucose Monitoring Sensors: State-of-The-Art and Current Perspectives.

    Giada Acciaroli;Martina Vettoretti;Andrea Facchinetti;Giovanni Sparacino

  • "Smart" Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues

    Giovanni Sparacino;Andrea Facchinetti;Claudio Cobelli

  • Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments

    Martina Vettoretti;Andrea Facchinetti;Giovanni Sparacino;Claudio Cobelli

  • Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach

    S. Guerra;A. Facchinetti;G. Sparacino;G. De Nicolao

  • Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information

    C. Zecchin;A. Facchinetti;G. Sparacino;C. Cobelli

  • Characterizing multisegment foot kinematics during gait in diabetic foot patients

    Zimi Sawacha;Giuseppe Cristoferi;Gabriella Guarneri;Stefano Corazza

  • Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices

    Andrea Facchinetti;Simone Del Favero;Giovanni Sparacino;Claudio Cobelli

  • Continuous glucose monitoring time series and hypo/hyperglycemia prevention: requirements, methods, open problems.

    Giovanni Sparacino;Andrea Facchinetti;Alberto Maran;Claudio Cobelli

  • Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications:

    Martina Vettoretti;Giacomo Cappon;Giada Acciaroli;Andrea Facchinetti

Frequent Co-Authors

Giovanni Sparacino
Giovanni Sparacino University of Padua
Claudio Cobelli
Claudio Cobelli University of Padua
Angelo Avogaro
Angelo Avogaro University of Padua
Tiinamaija Tuomi
Tiinamaija Tuomi University of Helsinki
Leif Groop
Leif Groop Lund University
Lalo Magni
Lalo Magni University of Pavia
Julia Kzhyshkowska
Julia Kzhyshkowska Heidelberg University
Jaakko Tuomilehto
Jaakko Tuomilehto University of Helsinki
Riccardo Bellazzi
Riccardo Bellazzi University of Pavia
José A. Pagán
José A. Pagán New York University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Engineering and Technology professionals in the USA can enhance their career prospects by pursuing related online degrees tailored to modern industry needs. Those looking to build foundational business skills can start with an associate in office administration. This program develops essential office management and organizational skills, which are valuable across engineering firms and technical teams.

For broader expertise, a business administration degree online prepares students for leadership, project management, and operational roles often in demand within engineering sectors. Advancing further, specialized graduate options like an best online master’s in organizational leadership help professionals drive innovation and effectively manage technical teams.

Additionally, engineers interested in optimizing production and business processes may consider online mba programs in operations management. These programs blend business strategy with technical operations, opening doors to managerial positions in tech-driven industries.

Best Scientists Citing Andrea Facchinetti

Trending Scientists

Recently Published Articles