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Overview of the modeling of complex biological systems and its role in neurosurgery

Biological systems are complex with distinct characteristics such as nonlinearity, adaptability, and self-organization. Biomedical research has helped in advancing our understanding of certain components the human biology but failed to illustrate the behavior of the biological systems within. This f...

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Detalles Bibliográficos
Autor principal: Aljuboori, Zaid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Scientific Scholar 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422407/
https://www.ncbi.nlm.nih.gov/pubmed/34513196
http://dx.doi.org/10.25259/SNI_429_2021
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author Aljuboori, Zaid
author_facet Aljuboori, Zaid
author_sort Aljuboori, Zaid
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description Biological systems are complex with distinct characteristics such as nonlinearity, adaptability, and self-organization. Biomedical research has helped in advancing our understanding of certain components the human biology but failed to illustrate the behavior of the biological systems within. This failure can be attributed to the use of the linear approach, which reduces the system to its components then study each component in isolation. This approach assumes that the behavior of complex systems is the result of the sum of the function of its components. The complex systems approach requires the identification of the components of the system and their interactions with each other and with the environment. Within neurosurgery, this approach has the potential to advance our understanding of the human nervous system and its subsystems.
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spelling pubmed-84224072021-09-09 Overview of the modeling of complex biological systems and its role in neurosurgery Aljuboori, Zaid Surg Neurol Int Editorial Biological systems are complex with distinct characteristics such as nonlinearity, adaptability, and self-organization. Biomedical research has helped in advancing our understanding of certain components the human biology but failed to illustrate the behavior of the biological systems within. This failure can be attributed to the use of the linear approach, which reduces the system to its components then study each component in isolation. This approach assumes that the behavior of complex systems is the result of the sum of the function of its components. The complex systems approach requires the identification of the components of the system and their interactions with each other and with the environment. Within neurosurgery, this approach has the potential to advance our understanding of the human nervous system and its subsystems. Scientific Scholar 2021-08-30 /pmc/articles/PMC8422407/ /pubmed/34513196 http://dx.doi.org/10.25259/SNI_429_2021 Text en Copyright: © 2021 Surgical Neurology International https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Editorial
Aljuboori, Zaid
Overview of the modeling of complex biological systems and its role in neurosurgery
title Overview of the modeling of complex biological systems and its role in neurosurgery
title_full Overview of the modeling of complex biological systems and its role in neurosurgery
title_fullStr Overview of the modeling of complex biological systems and its role in neurosurgery
title_full_unstemmed Overview of the modeling of complex biological systems and its role in neurosurgery
title_short Overview of the modeling of complex biological systems and its role in neurosurgery
title_sort overview of the modeling of complex biological systems and its role in neurosurgery
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422407/
https://www.ncbi.nlm.nih.gov/pubmed/34513196
http://dx.doi.org/10.25259/SNI_429_2021
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