Regenerative medicine meets mathematical modelling: developing symbiotic relationships

Abstract 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...

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Autores principales:	S. L. Waters, L. J. Schumacher, A. J. El Haj
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R
Acceso en línea:	https://doaj.org/article/6c39225502d14656815d8c497bc44dd3
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spelling	oai:doaj.org-article:6c39225502d14656815d8c497bc44dd32021-12-02T14:25:17ZRegenerative medicine meets mathematical modelling: developing symbiotic relationships10.1038/s41536-021-00134-22057-3995https://doaj.org/article/6c39225502d14656815d8c497bc44dd32021-04-01T00:00:00Zhttps://doi.org/10.1038/s41536-021-00134-2https://doaj.org/toc/2057-3995Abstract 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.S. L. WatersL. J. SchumacherA. J. El HajNature PortfolioarticleMedicineRENnpj Regenerative Medicine, Vol 6, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R
spellingShingle	Medicine R S. L. Waters L. J. Schumacher A. J. El Haj Regenerative medicine meets mathematical modelling: developing symbiotic relationships
description	Abstract 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.
format	article
author	S. L. Waters L. J. Schumacher A. J. El Haj
author_facet	S. L. Waters L. J. Schumacher A. J. El Haj
author_sort	S. L. Waters
title	Regenerative medicine meets mathematical modelling: developing symbiotic relationships
title_short	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_sort	regenerative medicine meets mathematical modelling: developing symbiotic relationships
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6c39225502d14656815d8c497bc44dd3
work_keys_str_mv	AT slwaters regenerativemedicinemeetsmathematicalmodellingdevelopingsymbioticrelationships AT ljschumacher regenerativemedicinemeetsmathematicalmodellingdevelopingsymbioticrelationships AT ajelhaj regenerativemedicinemeetsmathematicalmodellingdevelopingsymbioticrelationships
_version_	1718391373271400448

Regenerative medicine meets mathematical modelling: developing symbiotic relationships

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