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Paolo Napoletano

2 papers indexed

arxivcs.LGcs.AI2026-07-23

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes

Davide Marelli, Giorgia Rigamonti, Mirko Paolo Barbato, Paolo Napoletano

Preprocessing blood glucose time-series data is a critical yet often overlooked step in developing data-driven methods for diabetes management, particularly for type 1 diabetes. The lack of standardized preprocessing workflows and evaluation protocols hinders reproducibility and…

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arxivcs.LGq-bio.QM2026-07-21

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes

Giorgia Rigamonti, Mirko Paolo Barbato, Davide Marelli, Paolo Napoletano

Accurate forecasting of blood glucose concentration is key in the management of Type 1 Diabetes, facilitating early detection of adverse glycemic events and supporting timely therapeutic interventions. Despite recent advances in glucose prediction, most existing approaches rely o…

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