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Andrea Facchinetti

University of Virginia

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Publication

Featured researches published by Andrea Facchinetti.

Archive | 2010

Method to recalibrate continuous glucose monitoring data in real-time

Claudio Cobelli; Nicolao Giuseppe De; Andrea Facchinetti; Stefania Guerra; Giovanni Sparacino

Archive | 2013

Systems and methods for dynamically and intelligently monitoring a host's glycemic condition after an alert is triggered

Hari Hampapuram; Anna Leigh Rack-Gomer; Naresh C. Bhavaraju; Apurv Ullas Kamath; Claudio Cobelli; Giovanni Sparacino; Andrea Facchinetti; Chiara Zecchin

World Congress on Medical Physics & Biomedical Engineering (IUPESM) | 2018

Personalization of insulin dosing in type 1 diabetes therapy: assessment of a neural network based approach in a simulation study

Giacomo Cappon; Martina Vettoretti; Andrea Facchinetti; Giovanni Sparacino

11th International Conference on Advanced Technologies and Treatments for Diabetes | 2018

IGT and T2D subjects automatically classified using a selection of CGM-based glycemic variability indices

Enrico Longato; Giada Acciaroli; Andrea Facchinetti; Liisa Hakaste; Tiinamaija Tuomi; Alberto Maran; Giovanni Sparacino

Archive | 2017

ACCURACY CONTINUOUS GLUCOSE MONITORING METHOD, SYSTEM, AND DEVICE

Andrea Facchinetti; Giovanni Sparacino; Claudio Cobelli; Boris P. Kovatchev

DIABETES TECHNOLOGY MEETING | 2017

In Silico Assessment of Literature Methods to Adjust Insulin Bolus Dose according to CGM Trend

Francesca Marturano; Giacomo Cappon; Martina Vettoretti; Andrea Facchinetti; Giovanni Sparacino

17th Annual Diabetes Technology Meeting (DTM) | 2017

In Silico Assessment of State-of-Art and New Algorithms for Real-time Basal Insulin Modulation in Sensor-Augmented Pumps

Martina Vettoretti; Lorenzo Meneghetti; Chiara Fanton; Giovanni Sparacino; Andrea Facchinetti

17th Annual Diabetes Technology Meeting (DTM) | 2017

In silico framework for testing and comparing bolus calculator optimization techniques based on CGM sensors

Giacomo Cappon; Martina Vettoretti; Andrea Facchinetti; Giovanni Sparacino

17th Annual Diabetes Technology Meeting | 2017

Bayesian calibration algorithm for next generation Dexcom sensor: 8.4% MARD with one calibration every 4 days

Giada Acciaroli; Martina Vettoretti; S. Vanslyke; Arturo Garcia; Andrea Facchinetti; Giovanni Sparacino

17th Annual Diabetes Technology Meeting | 2017

Support vector machine fed by CGM-based glycemic variability indices can distinguish between IGT and T2D subjects

Enrico Longato; Giada Acciaroli; Andrea Facchinetti; Liisa Hakaste; Tiinamaija Tuomi; Alberto Maran; Giovanni Sparacino

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Giovanni Sparacino

University of Padua

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Claudio Cobelli

University of Pavia

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Martina Vettoretti

University of Padua

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Chiara Zecchin

University of Padua

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Claudio Cobelli

University of Pavia

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Giacomo Cappon

University of Padua

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Giada Acciaroli

University of Padua

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Alberto Maran

University of Padua

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Enrico Longato

University of Padua

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Stefania Guerra

University of Padua

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