Journal papers
2022
Roversi C., Vettoretti M., Del Favero S., Facchinetti A., Choudhary P., Sparacino G.; on behalf of the Hypo-RESOLVE Consortium, "Impact of Carbohydrate Counting Error on Glycemic Control in Open-Loop Management of Type 1 Diabetes: Quantitative Assessment Through an in silico Trial", Journal of Diabetes Science and Technology, vol. 16, no. 6, pp. 1541-1549, Nov 2022.
Boscari F., Vettoretti M., Cavallin F., Amato A.M.L., Uliana A., Vallone V., Avogaro A., Facchinetti A., Bruttomesso D., "Implantable and transcutaneous continuous glucose monitoring system: a randomized cross over trial comparing accuracy, efficacy and acceptance", Journal of Endocrinological Investigation, vol. 45, no. 1, pp. 115-124, Jan 2022.
Camerlingo N., Vettoretti M., Sparacino G., Facchinetti A., Mader J.K., Choudhary P., Del Favero S., Hypo-RESOLVE Consortium, "Choosing the duration of continuous glucose monitoring for reliable assessment of time in range: a new analytical approach to overcome the limitations of correlation-based methods", Diabetic Medicine, vol. 39, no. 5, pp. e14758, May 2022.
Camerlingo N., Vettoretti M., Del Favero S., Facchinetti A., Choudhary P., Sparacino G.; Hypo-RESOLVE Consortium, “Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach”, Comput Methods Programs Biomed, vol. 221, pp. 106862, Jun 2022.
2021
Noaro G., Cappon G., Vettoretti M., Sparacino G., Del Favero S., Facchinetti A., "Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy", IEEE Transactions on Biomedical Engineering, vol. 68, no. 1, pp. 247-255 Jan 2021.
Camerlingo N., Vettoretti M., Del Favero S., Facchinetti A., Sparacino G.; on behalf of the Hypo-RESOLVE Consortium. "Mathematical Models of Meal Amount and Timing Variability with Implementation in the Type-1 Diabetes Patient Decision Simulator", Journal of Diabetes Science and Technology, vol. 15, no. 2, pp. 346-359, 2021.
Diouri O., Cigler M., Vettoretti M., Mader J., Choudhary P., Renard E., on behalf of the Hypo-RESOLVE Consortium, "Hypoglycaemia Detection and Prediction Techniques: A Systematic Review on the Latest Developments", Diabetes/Metabolism Research and Reviews, vol. 37, no. 7, pp. e3449, Oct 2021.
Prendin F., Del Favero S., Vettoretti M., Sparacino G., Facchinetti A., "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", Sensors (Basel), vol. 21, no. 5, pp. 1647, Feb 2021.
Vettoretti M., Di Camillo B., "A variable ranking method for machine learning models with correlated features: in-silico validation and application for diabetes prediction", Applied Sciences, vol. 11, no. 16, pp. 7740, Aug 2021.
Camerlingo N., Vettoretti M., Sparacino G., Facchinetti A., Mader J.K., Choudhary P., Del Favero S., on behalf of the Hypo-RESOLVE Consortium, "Design of clinical trials to assess diabetes treatment: Minimum duration of continuous glucose monitoring data to estimate time-in-ranges with the desired precision", Diabetes, Obesity & Metabolism, vol. 23, no. 11, pp. 2446-2454, Nov 2021.
2020
Roversi C., Vettoretti M., Del Favero S., Facchinetti A., Sparacino G., on behalf of the Hypo-RESOLVE Consortium, "Modeling Carbohydrate Counting Error in Type 1 Diabetes Management", Diabetes Technology and Therapeutics, vol. 22, no. 10, pp. 749-759, Oct 2020.
Longato E., Vettoretti M., Di Camillo B., "A Practical Perspective on the Concordance Index for the Evaluation and Selection of Prognostic Time-to-Event Models", Journal of Biomedical Informatics, vol. 108, pp. 103496, Aug 2020.
Vettoretti M., Cappon G., Facchinetti A., Sparacino G., "Advanced Diabetes Treatment using Artificial Intelligence and Continuous Glucose Monitoring Sensors", Sensors (Basel), vol. 20, no. 14, pp. 3870, Jun 2020.
Vettoretti M., Longato E., Zandonà A., Li Y., Madondo K.M., Pagán J.A., Siscovick D.S., Facchinetti A., Di Camillo B., "Addressing Practical Issues of Predictive Models Translation into Everyday Practice and Public Health Management: A Combined Model to Predict the Risk of Type 2 Diabetes Improves Incidence Prediction and Reduces the Prevalence of Missing Risk Predictions", BMJ Open Diabetes Research & Care, vol. 8, no. 1, pp. e001223, Jul 2020.
Boscari F., Vettoretti M., Amato A. M. L., Vallone V., Uliana A., Iori E., Avogaro A., Facchinetti A., Bruttomesso D. "Comparing the accuracy of transcutaneous sensor and 90-DAY implantable glucose sensor", Nutrition Metabolism and Cardiovascular Diseases, vol. 31, no. 2, pp. 650-657, 2020.
Camerlingo N., Vettoretti M., Facchinetti A., Sparacino G., Del Favero S., "An Analytical Approach to Determine the Optimal Duration of Continuous Glucose Monitoring Data Required to Reliably Estimate Time in Hypoglycemia", Scientific Reports, vol. 10, no. 1, pp. 18180, Oct 2020.
2019
Cappon G., Marturano F., Vettoretti M., Facchinetti A. and Sparacino G., "In Silico Assessment of Literature Insulin Bolus Calculation Methods Accounting for Glucose Rate of Change", Journal of Diabetes Science and Technology, vol. 13, no. 1, pp. 103-110, Jan 2019.
Vettoretti M., Facchinetti A., "Combining Continuous Glucose Monitoring and Insulin Pump to Automatically Tune the Basal Insulin Infusion in Diabetes Therapy: A Review", Biomed Eng Online, vol. 18, pp. 37, Mar 2019.
Cappon G., Vettoretti M., Sparacino G., Facchinetti A., "Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications", Diabetes & Metabolism Journal, vol. 43, no. 4, pp. 383-397, Aug 2019.
Camerlingo N., Vettoretti M., Del Favero S., Cappon G., Sparacino G., Facchinetti A., "A Real-Time Continuous Glucose Monitoring-Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic Events", Diabetes Technology & Therapeutics, vol. 21, no.11, pp. 644-655, Nov 2019.
Vettoretti M., Battocchio C., Sparacino G., Facchinetti A., "Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime", Sensor (Basel), vol. 19, no. 23, pp. E5320, Dec 2019.
2018
Acciaroli G., Vettoretti M., Facchinetti A. and Sparacino G., "Toward Calibration-Free Continuous Glucose Monitoring Sensors: Bayesian Calibration Approach Applied to Next-Generation Dexcom Technology", Diabetes Technology & Therapeutics, vol. 20, no. 1, pp. 59-67, Jan 2018.
Acciaroli G., Vettoretti M., Facchinetti A., Sparacino G. and Cobelli C., "Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multi-Day Framework", IEEE Transactions on Biomedical Engineering, vol. 65, no. 3, pp. 587-595, Mar 2018.
Vettoretti M., Facchinetti A., Sparacino G., Cobelli C., "Type 1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments", IEEE Transactions on Biomedical Engineering, vol.65, no. 6, pp. 1281-1290, Jun 2018.
Visentin R., Campos-Náñez E., Schiavon M., Lv D., Vettoretti M., Breton M., Kovatchev B.P., Dalla Man C. and Cobelli C., "The UVA/Padova Type 1 Diabetes Simulator Goes from Single Meal to Single Day", Journal of Diabetes Science and Technology, vol. 12, no. 2, pp. 273-281, Mar 2018.
Cappon G., Vettoretti M., Marturano F., Facchinetti A. and Sparacino G., "A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring", Journal of Diabetes Science and Technology, vol. 12, no. 2, pp. 265-272, Mar 2018
Acciaroli G., Vettoretti M., Facchinetti A. and Sparacino G., "Calibration of Minimally Invasive Continuous Glucose Monitoring Sensors: State-of-The-Art and Current Perspectives", Biosensors (Basel), vol. 8, no. 1, pii: E24, Mar 2018.
Vettoretti M., Cappon G., Acciaroli G., Facchinetti A. and Sparacino G., "Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications", Journal of Diabetes Science and Technology, vol. 12, no. 5, pp.1064-1071, Sep 2018.
2017
Vettoretti M., Facchinetti A., Sparacino G., Cobelli C., "A Model of the Self-Monitoring of Blood Glucose Measurement Error", Journal of Diabetes Science and Technology, vol. 11, no. 4, pp. 724-735, Jul 2017.
Cappon G., Acciaroli G., Vettoretti M., Facchinetti A., Sparacino G., "Wearable Continuous Glucose Monitoring Sensors: A Revolution in Diabetes Treatment", Electronics, vol. 6, no. 3, pp. 65, Sep 2017.
Contreras I., Oviedo S., Vettoretti M., Visentin R. and Vehí J., "Personalized Blood Glucose Prediction: A Hybrid Approach using Grammatical Evolution and Physiological Models", PLoS One, vol. 7, no. 11, pp. e0187754, Nov 2017.
2016
Vettoretti M., Facchinetti A., Del Favero S., Sparacino G. and Cobelli C., "On-line Calibration of Glucose Sensors from the Measured Current by a Time-Varying Calibration Function and Bayesian Priors", IEEE Transactions on Biomedical Engineering, vol. 63, no. 8, pp. 1631-1641, Aug 2016.
Acciaroli G., Vettoretti M., Facchinetti A., Sparacino G. and Cobelli C., "From Two to One per Day Calibration of Dexcom G4 Platinum by a Time-Varying Day-Specific Bayesian Prior", Diabetes Technology & Therapeutics, vol. 18, no. 8, pp. 472-479, Aug 2016.
Vettoretti M., Facchinetti A., Sparacino G., Cobelli C., "Predicting Insulin Treatment Scenarios with the Net Effect Method: Domain of Validity", Diabetes Technology & Therapeutics, vol. 18, no. 11, pp. 694-704, Nov 2016.
Conference papers
2022
Guazzo A., Trescato I., Longato E., Hazizaj E., Dosso D., Faggioli G., Di Nunzio G.M., Silvello G., Vettoretti M., Tavazzi E., Roversi C., Fariselli P., Madeira S.C., de Carvalho M., Gromicho M., Chiò A., Manera U., Dagliati A., Birolo G., Aidos H., Di Camillo B., Ferro N., “Intelligent Disease Progression Prediction: Overview of iDPP@ CLEF 2022”, in Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2022. Lecture Notes in Computer Science, vol 13390, pp 395–422. Springer, Cham. https://doi.org/10.1007/978-3-031-13643-6_25
2021
Roversi C., Vettoretti M., Di Camillo B., Facchinetti A., "Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements", 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 2021, pp. 1-4, doi: 10.1109/BHI50953.2021.9508580.
Roversi C., Tavazzi E., Vettoretti M., Di Camillo B., "A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population", 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 2021, pp. 1-4, doi: 10.1109/BHI50953.2021.9508546.
Drecogna M., Vettoretti M., Del Favero S., Facchinetti A., Sparacino G., "Data Gap Modeling in Continuous Glucose Monitoring Sensor Data", 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 4379-4382, doi: 10.1109/EMBC46164.2021.9629588.
Camerlingo N., Vettoretti M., Sparacino G., Facchinetti A., Mader J.K., Choudhary P., Del Favero S., "A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters", 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 1435-1438, doi: 10.1109/EMBC46164.2021.9630689.
2019
Vettoretti M., Del Favero S., Sparacino G., Facchinetti A., "Modeling the Error of Factory-Calibrated Continuous Glucose Monitoring Sensors: Application to Dexcom G6 Sensor Data", Conference Proceedings of the 41st International Conference of the IEEE Engineering Medicine and Biology Society (EMBS), Berlin, July 23-27 2019, Berlin, 2019, pp. 750-753.
Camerlingo N., Vettoretti M., Facchinetti A., Del Favero S., Cappon G., Sparacino G., "In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes", Conference Proceedings of the 41st International Conference of the IEEE Engineering Medicine and Biology Society (EMBS), Berlin, July 23-27 2019, pp. 4133-4136.
2018
Vettoretti M., Longato E., Di Camillo B., and Facchinetti A., "Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study", Conference Proceedings of the 40th International Conference of the IEEE Engineering Medicine and Biology Society (EMBS), Honolulu, July 17-21 2018, pp. 5358-5361.
Acciaroli A., Vettoretti M., Facchinetti A., Sparacino G., "Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management", Conference Proceedings of the 40th International Conference of the IEEE Engineering Medicine and Biology Society (EMBS), Honolulu, July 17-21 2018, pp. 29-32.
Schiavon M., Acciaroli A., Vettoretti M., Giaretta A., Visentin R., "A Model of Acetaminophen Pharmacokinetics and its Effect on Continuous Glucose Monitoring Sensor Measurements", Conference Proceedings of the 40th International Conference of the IEEE Engineering Medicine and Biology Society (EMBS), Honolulu, July 17-21 2018, pp. 159-162.
Cappon G., Vettoretti M., Marturano F., Facchinetti A., Sparacino G., "Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information", Conference Proceedings of the 40th International Conference of the IEEE Engineering Medicine and Biology Society (EMBS), Honolulu, July 17-21 2018, pp. 1-4.
2017
Contreras I., Vehí J., Visentin R., Vettoretti M., "A Hybrid Clustering Prediction for Type 1 Diabetes Aid: Towards Decision Support Systems Based upon Scenario Profile Analysis", Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017, August 14, 2017, n. 8010616, pp. 64-69.
2015
Vettoretti M., Facchinetti A., Sparacino G., Cobelli C., "Accuracy of Devices for Self-Monitoring of Blood Glucose: A Stochastic Error Model", Conference Proceedings of the 37th Annual International Conference of IEEE Engineering Medicine and Biology Society (EMBS), Milano, August 25-29, 2015, pp. 2359-2362.
Vettoretti M., Facchinetti A., Sparacino G., Cobelli C., "Patient Decision-Making of CGM Sensor Driven Insulin Therapies in Type 1 Diabetes: In Silico Assessment", Conference Proceedings of the 37th Annual International Conference of IEEE Engineering Medicine and Biology Society (EMBS), Milano, August 25-29, 2015, pp. 2363-2366.
Book chapters
2020
Vettoretti M., "Modeling the SMBG Measurement Error" in Glucose Monitoring Devices: Measuring Blood Glucose to Manage and Control Diabetes, Editors: Chiara Fabris, Boris Kovatchev, Cambridge (MA), Academic Press, 2020, pp. 79-108.
Acciaroli G., Vettoretti M., Facchinetti A., Sparacino G., "Calibration of CGM systems" in Glucose Monitoring Devices: Measuring Blood Glucose to Manage and Control Diabetes, Editors: Chiara Fabris, Boris Kovatchev, Cambridge (MA), Academic Press, 2020, pp. 173-201.
Vettoretti M., Cappon G., Facchinetti A., Sparacino G., "AI for Decision-Support in Diabetes Management", in AI-Eneabled Health Care: From Decision Support to Autonomous Robots, Editors: Riccardo Bellazzi, Cecilia Laschi, Silvana Quaglini, Lucia Sacchi, Bologna (Italy), Patron Editore, 2020, pp. 187-206.
Patent applications
Sparacino G., Camerlingo N., Vettoretti M., Facchinetti A., Del Favero S., Cappon G., "Real-Time Continuous Glucose Monitoring Based Algorithm to Trigger Carbohydrates Assumption to Prevent/Mitigate Hypoglycemic Events", no. WO 2020/094743 A1 (2020).
Vanslyke S.J., Acciaroli G., Vettoretti M., Facchinetti A., Sparacino G., "Continuous Glucose Monitors and Related Sensors Utilizing Mixed Model and Bayesian Calibration Algorithms", no. WO 2019/038661 A1 (2019).
Vettoretti M., Facchinetti A., Sparacino G., Cobelli C., "Individualized Multiple-Day Simulation Model of Type 1 Diabetic Patient Decision-Making for Developing, Testing and Optimizing Insulin Therapies Driven by Glucose Sensors", no. US 2016/0342754 A1 (2016).
Conference abstracts
About 70 abstracts presented at national and international conferences.