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Model individualization for artificial pancreas.
Messori M, Toffanin C, Del Favero S, De Nicolao G, Cobelli C, Magni L. Messori M, et al. Among authors: de nicolao g. Comput Methods Programs Biomed. 2019 Apr;171:133-140. doi: 10.1016/j.cmpb.2016.06.006. Epub 2016 Jul 5. Comput Methods Programs Biomed. 2019. PMID: 27424482
Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: preliminary studies in Padova and Montpellier.
Bruttomesso D, Farret A, Costa S, Marescotti MC, Vettore M, Avogaro A, Tiengo A, Dalla Man C, Place J, Facchinetti A, Guerra S, Magni L, De Nicolao G, Cobelli C, Renard E, Maran A. Bruttomesso D, et al. Among authors: de nicolao g. J Diabetes Sci Technol. 2009 Sep 1;3(5):1014-21. doi: 10.1177/193229680900300504. J Diabetes Sci Technol. 2009. PMID: 20144414 Free PMC article.
Control to range for diabetes: functionality and modular architecture.
Kovatchev B, Patek S, Dassau E, Doyle FJ 3rd, Magni L, De Nicolao G, Cobelli C; Juvenile Diabetes Research Foundation Artificial Pancreas Consortium. Kovatchev B, et al. Among authors: de nicolao g. J Diabetes Sci Technol. 2009 Sep 1;3(5):1058-65. doi: 10.1177/193229680900300509. J Diabetes Sci Technol. 2009. PMID: 20144419 Free PMC article.
Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia.
Breton M, Farret A, Bruttomesso D, Anderson S, Magni L, Patek S, Dalla Man C, Place J, Demartini S, Del Favero S, Toffanin C, Hughes-Karvetski C, Dassau E, Zisser H, Doyle FJ 3rd, De Nicolao G, Avogaro A, Cobelli C, Renard E, Kovatchev B; International Artificial Pancreas Study Group. Breton M, et al. Among authors: de nicolao g. Diabetes. 2012 Sep;61(9):2230-7. doi: 10.2337/db11-1445. Epub 2012 Jun 11. Diabetes. 2012. PMID: 22688340 Free PMC article. Clinical Trial.
WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems.
Sparacino G, Pillonetto G, Capello M, De Nicolao G, Cobelli C. Sparacino G, et al. Among authors: de nicolao g. Comput Methods Programs Biomed. 2002 Jan;67(1):67-77. doi: 10.1016/s0169-2607(00)00151-6. Comput Methods Programs Biomed. 2002. PMID: 11750948
Deconvolution allows the reconstruction of non-accessible inputs (e.g. hormone secretion rate) from their causally-related measurable effects (e.g. hormone plasma concentration). ...Recently, a stochastic regularization approach has been proposed and validated to ha …
Deconvolution allows the reconstruction of non-accessible inputs (e.g. hormone secretion rate) from their causally-related measurable …
Model predictive control of type 1 diabetes: an in silico trial.
Magni L, Raimondo DM, Bossi L, Man CD, De Nicolao G, Kovatchev B, Cobelli C. Magni L, et al. Among authors: de nicolao g. J Diabetes Sci Technol. 2007 Nov;1(6):804-12. doi: 10.1177/193229680700100603. J Diabetes Sci Technol. 2007. PMID: 19885152 Free PMC article.
Diabetes: Models, Signals, and Control.
Cobelli C, Man CD, Sparacino G, Magni L, De Nicolao G, Kovatchev BP. Cobelli C, et al. Among authors: de nicolao g. IEEE Rev Biomed Eng. 2009 Jan 1;2:54-96. doi: 10.1109/RBME.2009.2036073. IEEE Rev Biomed Eng. 2009. PMID: 20936056 Free PMC article.
Modular closed-loop control of diabetes.
Patek SD, Magni L, Dassau E, Karvetski C, Toffanin C, De Nicolao G, Del Favero S, Breton M, Man CD, Renard E, Zisser H, Doyle FJ 3rd, Cobelli C, Kovatchev BP; International Artificial Pancreas (iAP) Study Group. Patek SD, et al. Among authors: de nicolao g. IEEE Trans Biomed Eng. 2012 Nov;59(11):2986-99. doi: 10.1109/TBME.2012.2192930. Epub 2012 Apr 3. IEEE Trans Biomed Eng. 2012. PMID: 22481809 Free PMC article.
82 results