The impact of mathematical modeling on the understanding of diabetes and related complications

Diabetes is a chronic and complex multifactorial disease caused by persistent hyperglycemia and for which underlying pathogenesis is still not completely understood. The mathematical modeling of glucose homeostasis, diabetic condition, and its associated complications is rapidly growing and provides...

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Detalles Bibliográficos
Autores principales: Ajmera, I, Swat, M, Laibe, C, Novère, N Le, Chelliah, V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3731829/
https://www.ncbi.nlm.nih.gov/pubmed/23842097
http://dx.doi.org/10.1038/psp.2013.30
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author Ajmera, I
Swat, M
Laibe, C
Novère, N Le
Chelliah, V
author_facet Ajmera, I
Swat, M
Laibe, C
Novère, N Le
Chelliah, V
author_sort Ajmera, I
collection PubMed
description Diabetes is a chronic and complex multifactorial disease caused by persistent hyperglycemia and for which underlying pathogenesis is still not completely understood. The mathematical modeling of glucose homeostasis, diabetic condition, and its associated complications is rapidly growing and provides new insights into the underlying mechanisms involved. Here, we discuss contributions to the diabetes modeling field over the past five decades, highlighting the areas where more focused research is required.
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spelling pubmed-37318292013-08-02 The impact of mathematical modeling on the understanding of diabetes and related complications Ajmera, I Swat, M Laibe, C Novère, N Le Chelliah, V CPT Pharmacometrics Syst Pharmacol Review Diabetes is a chronic and complex multifactorial disease caused by persistent hyperglycemia and for which underlying pathogenesis is still not completely understood. The mathematical modeling of glucose homeostasis, diabetic condition, and its associated complications is rapidly growing and provides new insights into the underlying mechanisms involved. Here, we discuss contributions to the diabetes modeling field over the past five decades, highlighting the areas where more focused research is required. Nature Publishing Group 2013-07 2013-07-10 /pmc/articles/PMC3731829/ /pubmed/23842097 http://dx.doi.org/10.1038/psp.2013.30 Text en Copyright © 2013 American Society for Clinical Pharmacology and Therapeutics http://creativecommons.org/licenses/by-nc-nd/3.0/ CPT: Pharmacometrics and Systems Pharmacology is an open-access journal published by Nature Publishing Group. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Review
Ajmera, I
Swat, M
Laibe, C
Novère, N Le
Chelliah, V
The impact of mathematical modeling on the understanding of diabetes and related complications
title The impact of mathematical modeling on the understanding of diabetes and related complications
title_full The impact of mathematical modeling on the understanding of diabetes and related complications
title_fullStr The impact of mathematical modeling on the understanding of diabetes and related complications
title_full_unstemmed The impact of mathematical modeling on the understanding of diabetes and related complications
title_short The impact of mathematical modeling on the understanding of diabetes and related complications
title_sort impact of mathematical modeling on the understanding of diabetes and related complications
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3731829/
https://www.ncbi.nlm.nih.gov/pubmed/23842097
http://dx.doi.org/10.1038/psp.2013.30
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