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Claudio Cobelli

Showing results (101-110 of 392) with videos related to

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Journal of Diabetes Science and Technology|December 20, 2013
Artificial pancreas goes outpatient: a new diabetes ecosystemEric Renard, Claudio Cobelli, Howard C Zisser, et al.
Journal of Pediatric Endocrinology & Metabolism : JPEM|April 15, 2008
Glucose fluxes during OGTT in adolescents assessed by a stable isotope triple tracer methodGianna Toffolo, Chiara Dalla Man, Claudio Cobelli, et al.
Journal of Diabetes Science and Technology|September 3, 2025
Automated Oral Minimal Models for Rapid Estimation of Insulin Sensitivity and Beta-Cell Responsivity in Large-Scale Data Sets: A Validation StudySimone Perazzolo, Alfonso Galderisi, Alice Carr, et al.
Diabetes Technology & Therapeutics|November 27, 2019
In Silico Trials of an Open-Source Android-Based Artificial Pancreas: A New Paradigm to Test Safety and Efficacy of Do-It-Yourself SystemsChiara Toffanin, Milos Kozak, Zdenek Sumnik, et al.
Diabetes Technology & Therapeutics|January 13, 2016
Model-Based Quantification of Glucagon-Like Peptide-1-Induced Potentiation of Insulin Secretion in Response to a Mixed Meal ChallengeChiara Dalla Man, Francesco Micheletto, Matheni Sathananthan, et al.
Diabetes Technology & Therapeutics|June 3, 2016
Interstitial Fluid Glucose Is Not Just a Shifted-in-Time but a Distorted Mirror of Blood Glucose: Insight from an In Silico StudyClaudio Cobelli, Michele Schiavon, Chiara Dalla Man, et al.
American Journal of Physiology. Endocrinology and Metabolism|July 12, 2002
Regulation of endogenous glucose production after a mixed meal in type 2 diabetesParag Singhal, Andrea Caumo, Peter E Carey, et al.
Annals of Biomedical Engineering|August 10, 2004
Insulin minimal model indexes and secretion: proper handling of uncertainty by a Bayesian approachPaolo Magni, Giovanni Sparacino, Riccardo Bellazzi, et al.
American Journal of Physiology. Endocrinology and Metabolism|May 25, 2006
Assessment of postprandial glucose metabolism: conventional dual- vs. triple-tracer methodGianna Toffolo, Rita Basu, Chiara Dalla Man, et al.
IEEE Transactions on Bio-Medical Engineering|March 1, 2012
Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentrationChiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, et al.
Pageof 40

Showing results (101-110 of 392) with videos related to

Sort By:
Pageof 40
Journal of Diabetes Science and Technology|December 20, 2013
Artificial pancreas goes outpatient: a new diabetes ecosystemEric Renard, Claudio Cobelli, Howard C Zisser, et al.
Journal of Pediatric Endocrinology & Metabolism : JPEM|April 15, 2008
Glucose fluxes during OGTT in adolescents assessed by a stable isotope triple tracer methodGianna Toffolo, Chiara Dalla Man, Claudio Cobelli, et al.
Journal of Diabetes Science and Technology|September 3, 2025
Automated Oral Minimal Models for Rapid Estimation of Insulin Sensitivity and Beta-Cell Responsivity in Large-Scale Data Sets: A Validation StudySimone Perazzolo, Alfonso Galderisi, Alice Carr, et al.
Diabetes Technology & Therapeutics|November 27, 2019
In Silico Trials of an Open-Source Android-Based Artificial Pancreas: A New Paradigm to Test Safety and Efficacy of Do-It-Yourself SystemsChiara Toffanin, Milos Kozak, Zdenek Sumnik, et al.
Diabetes Technology & Therapeutics|January 13, 2016
Model-Based Quantification of Glucagon-Like Peptide-1-Induced Potentiation of Insulin Secretion in Response to a Mixed Meal ChallengeChiara Dalla Man, Francesco Micheletto, Matheni Sathananthan, et al.
Diabetes Technology & Therapeutics|June 3, 2016
Interstitial Fluid Glucose Is Not Just a Shifted-in-Time but a Distorted Mirror of Blood Glucose: Insight from an In Silico StudyClaudio Cobelli, Michele Schiavon, Chiara Dalla Man, et al.
American Journal of Physiology. Endocrinology and Metabolism|July 12, 2002
Regulation of endogenous glucose production after a mixed meal in type 2 diabetesParag Singhal, Andrea Caumo, Peter E Carey, et al.
Annals of Biomedical Engineering|August 10, 2004
Insulin minimal model indexes and secretion: proper handling of uncertainty by a Bayesian approachPaolo Magni, Giovanni Sparacino, Riccardo Bellazzi, et al.
American Journal of Physiology. Endocrinology and Metabolism|May 25, 2006
Assessment of postprandial glucose metabolism: conventional dual- vs. triple-tracer methodGianna Toffolo, Rita Basu, Chiara Dalla Man, et al.
IEEE Transactions on Bio-Medical Engineering|March 1, 2012
Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentrationChiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, et al.
Pageof 40