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Pediatric Diabetes|September 29, 2004
Pubertal changes in HOMA and QUICKI: relationship to hepatic and peripheral insulin sensitivityRobert P Hoffman, Paolo Vicini, Claudio Cobelli
IEEE Transactions on Bio-Medical Engineering|July 11, 2018
Modeling Subcutaneous Absorption of Fast-Acting Insulin in Type 1 DiabetesMichele Schiavon, Chiara Dalla Man, Claudio Cobelli
Diabetes Technology & Therapeutics|January 23, 2018
Insulin Sensitivity Index-Based Optimization of Insulin to Carbohydrate Ratio: In Silico Study Shows Efficacious Protection Against Hypoglycemic Events Caused by Suboptimal TherapyMichele Schiavon, Chiara Dalla Man, Claudio Cobelli
Metabolites|September 26, 2021
Modeling Intraperitoneal Insulin Absorption in Patients with Type 1 DiabetesMichele Schiavon, Claudio Cobelli, Chiara Dalla Man
Diabetes Technology & Therapeutics|April 24, 2020
The Padova Type 2 Diabetes Simulator from Triple-Tracer Single-Meal Studies: In Silico Trials Also Possible in Rare but Not-So-Rare IndividualsRoberto Visentin, Claudio Cobelli, Chiara Dalla Man
Applied Psychophysiology and Biofeedback|April 14, 2004
Combined psychophysiological assessment of ADHD: a pilot study of Bayesian probability approach illustrated by appraisal of ADHD in female college studentsRaina Robeva, Jennifer Kim Penberthy, Tim Loboschefski, et al.
Diabetes Research and Clinical Practice|April 7, 2016
How well do glucose variability measures predict patient glycaemic outcomes during treatment intensification in type 2 diabetes?Silvio E Inzucchi, Guillermo Umpierrez, Andres DiGenio, et al.
IEEE Transactions on Cybernetics|May 5, 2025
Neural Networks for On-Chip Model Predictive Control: A Method to Build Optimized Training Datasets and Its Application to Type-1 DiabetesAlberto Castillo, Elliot Pryor, Anas El Fathi, et al.
Journal of Pediatric Gastroenterology and Nutrition|April 4, 2002
Treatment of childhood encopresis: a randomized trial comparing three treatment protocolsStephen M Borowitz, Daniel J Cox, James L Sutphen, et al.
Diabetes Research and Clinical Practice|February 10, 2015
How well do glucose variability measures predict patient glycaemic outcomes during treatment intensification in type 2 diabetes?Silvio E Inzucchi, Guillermo Umpierrez, Andres DiGenio, et al.
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