Francesco Prendin - Publications

EMBC Special Issue: PhyNet: A Physiology-Constrained Monotonic Neural Network for Safe and Explainable Blood Glucose Forecasting.

Journal: IEEE transactions on bio-medical engineering

Published: September 02, 2026

Clinical Efficacy Evaluation of a Continuous Glucose Monitoring-Guided Forecasting Algorithm to Mitigate Postbariatric Hypoglycemia: A Randomized Controlled Trial.

Journal: Diabetes technology & therapeutics

Published: March 14, 2026

Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 Diabetes.

Journal: IEEE journal of biomedical and health informatics

Published: January 14, 2026

Evaluating the Effect of Input Features on Deep Learning Models for Blood Glucose Forecasting.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Data Augmentation via Digital Twins to Develop Personalized Deep Learning Glucose Prediction Algorithms for Type 1 Diabetes in Poor Data Context.

Journal: IEEE transactions on bio-medical engineering

Published: November 21, 2025

Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes Treatment.

Journal: IEEE journal of biomedical and health informatics

Published: March 03, 2025

Automatic identification of unreported meals from continuous glucose monitoring data in individuals after bariatric surgery using a template matching algorithm.

Journal: Scientific reports

Published: November 09, 2024

Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions.

Journal: BMC medical informatics and decision making

Published: May 15, 2024

drCORRECT: An Algorithm for the Preventive Administration of Postprandial Corrective Insulin Boluses in Type 1 Diabetes Management.

Journal: Journal of diabetes science and technology

Published: December 29, 2023

The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP.

Journal: Scientific reports

Published: May 23, 2023

Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One.

Journal: IEEE transactions on bio-medical engineering

Published: May 17, 2023

Nutritional strategies for correcting low glucose values in patients with postbariatric hypoglycaemia: A randomized controlled three-arm crossover trial.

Journal: Diabetes, obesity & metabolism

Published: April 04, 2023