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The role of computational models in mechanobiology of growing bone
Endochondral ossification, the process by which long bones grow in length, is regulated by mechanical forces. Computational models, specifically finite element models, have been used for decades to understand the role of mechanical loading on endochondral ossification. This perspective outlines the...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715592/ https://www.ncbi.nlm.nih.gov/pubmed/36466331 http://dx.doi.org/10.3389/fbioe.2022.973788 |
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author | Comellas, Ester Shefelbine, Sandra J. |
author_facet | Comellas, Ester Shefelbine, Sandra J. |
author_sort | Comellas, Ester |
collection | PubMed |
description | Endochondral ossification, the process by which long bones grow in length, is regulated by mechanical forces. Computational models, specifically finite element models, have been used for decades to understand the role of mechanical loading on endochondral ossification. This perspective outlines the stages of model development in which models are used to: 1) explore phenomena, 2) explain pathologies, 3) predict clinical outcomes, and 4) design therapies. As the models progress through the stages, they increase in specificity and biofidelity. We give specific examples of models of endochondral ossification and expect models of other mechanobiological systems to follow similar development stages. |
format | Online Article Text |
id | pubmed-9715592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97155922022-12-03 The role of computational models in mechanobiology of growing bone Comellas, Ester Shefelbine, Sandra J. Front Bioeng Biotechnol Bioengineering and Biotechnology Endochondral ossification, the process by which long bones grow in length, is regulated by mechanical forces. Computational models, specifically finite element models, have been used for decades to understand the role of mechanical loading on endochondral ossification. This perspective outlines the stages of model development in which models are used to: 1) explore phenomena, 2) explain pathologies, 3) predict clinical outcomes, and 4) design therapies. As the models progress through the stages, they increase in specificity and biofidelity. We give specific examples of models of endochondral ossification and expect models of other mechanobiological systems to follow similar development stages. Frontiers Media S.A. 2022-11-18 /pmc/articles/PMC9715592/ /pubmed/36466331 http://dx.doi.org/10.3389/fbioe.2022.973788 Text en Copyright © 2022 Comellas and Shefelbine. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Comellas, Ester Shefelbine, Sandra J. The role of computational models in mechanobiology of growing bone |
title | The role of computational models in mechanobiology of growing bone |
title_full | The role of computational models in mechanobiology of growing bone |
title_fullStr | The role of computational models in mechanobiology of growing bone |
title_full_unstemmed | The role of computational models in mechanobiology of growing bone |
title_short | The role of computational models in mechanobiology of growing bone |
title_sort | role of computational models in mechanobiology of growing bone |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715592/ https://www.ncbi.nlm.nih.gov/pubmed/36466331 http://dx.doi.org/10.3389/fbioe.2022.973788 |
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