Regenerative medicine meets mathematical modelling: developing symbiotic relationships

Successful progression from bench to bedside for regenerative medicine products is challenging and requires a multidisciplinary approach. What has not yet been fully recognised is the potential for quantitative data analysis and mathematical modelling approaches to support this process. In this revi...

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Detalles Bibliográficos
Autores principales: Waters, S. L., Schumacher, L. J., El Haj, A. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042047/
https://www.ncbi.nlm.nih.gov/pubmed/33846347
http://dx.doi.org/10.1038/s41536-021-00134-2
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author Waters, S. L.
Schumacher, L. J.
El Haj, A. J.
author_facet Waters, S. L.
Schumacher, L. J.
El Haj, A. J.
author_sort Waters, S. L.
collection PubMed
description Successful progression from bench to bedside for regenerative medicine products is challenging and requires a multidisciplinary approach. What has not yet been fully recognised is the potential for quantitative data analysis and mathematical modelling approaches to support this process. In this review, we highlight the wealth of opportunities for embedding mathematical and computational approaches within all stages of the regenerative medicine pipeline. We explore how exploiting quantitative mathematical and computational approaches, alongside state-of-the-art regenerative medicine research, can lead to therapies that potentially can be more rapidly translated into the clinic.
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spelling pubmed-80420472021-04-28 Regenerative medicine meets mathematical modelling: developing symbiotic relationships Waters, S. L. Schumacher, L. J. El Haj, A. J. NPJ Regen Med Review Article Successful progression from bench to bedside for regenerative medicine products is challenging and requires a multidisciplinary approach. What has not yet been fully recognised is the potential for quantitative data analysis and mathematical modelling approaches to support this process. In this review, we highlight the wealth of opportunities for embedding mathematical and computational approaches within all stages of the regenerative medicine pipeline. We explore how exploiting quantitative mathematical and computational approaches, alongside state-of-the-art regenerative medicine research, can lead to therapies that potentially can be more rapidly translated into the clinic. Nature Publishing Group UK 2021-04-12 /pmc/articles/PMC8042047/ /pubmed/33846347 http://dx.doi.org/10.1038/s41536-021-00134-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Waters, S. L.
Schumacher, L. J.
El Haj, A. J.
Regenerative medicine meets mathematical modelling: developing symbiotic relationships
title Regenerative medicine meets mathematical modelling: developing symbiotic relationships
title_full Regenerative medicine meets mathematical modelling: developing symbiotic relationships
title_fullStr Regenerative medicine meets mathematical modelling: developing symbiotic relationships
title_full_unstemmed Regenerative medicine meets mathematical modelling: developing symbiotic relationships
title_short Regenerative medicine meets mathematical modelling: developing symbiotic relationships
title_sort regenerative medicine meets mathematical modelling: developing symbiotic relationships
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042047/
https://www.ncbi.nlm.nih.gov/pubmed/33846347
http://dx.doi.org/10.1038/s41536-021-00134-2
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