Journal of Biomedical and Sustainable Healthcare Applications


Modelling for Clinical and Psysiological Evaluation of Diabetes and Glucose Homeostasis



Journal of Biomedical and Sustainable Healthcare Applications

Received On : 20 January 2021

Revised On : 18 March 2021

Accepted On : 25 July 2021

Published On : 05 January 2022

Volume 02, Issue 01

Pages : 026-034


Abstract


There is a long history of arithmetic simulations in the domain of gluconeogenesis. There are various reasons why frameworks are used. Paradigms have been employed to calculate physiologically relevant parameters from intermediate experimental evidence, to offer a clear quantitative description of pathophysiology processes, and to identify clinical relevance indicators from basic empirical procedures. The creation and application of frameworks in this field has expanded in response to the rising social effect of type 2 diabetes that entails a disruption of the glycemic homeostasis system. The frameworks' emphasis has ranged from depictions of entire body functions to lymphocytes (form “in Vivo” to “in Vitro”) study, following the methodologies of physiologic and medicinal exploration. Framework-based techniques to connecting in vivo and in vitro research, and also multi-resolution systems that combine the two domains, have been presented. The arithmetic and psychological domains have had varying levels of effectiveness and influence.


Keywords


Physiological Modeling Functions, Glycemic Metabolism, Glycemic Homeostasis, Thyroxine Production


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We would like to thank Reviewers for taking the time and effort necessary to review the manuscript. We sincerely appreciate all valuable comments and suggestions, which helped us to improve the quality of the manuscript.


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Elirea Bornmann, “Modelling for Clinical and Psysiological Evaluation of Diabetes and Glucose Homeostasis”, Journal of Biomedical and Sustainable Healthcare Applications, vol.2, no.1, pp. 026-034, January 2022. doi: 10.53759/0088/JBSHA202202004.


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© 2022 Elirea Bornmann. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.