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再生医学与数学建模:建立共生关系。

Regenerative medicine meets mathematical modelling: developing symbiotic relationships.

作者信息

Waters S L, Schumacher L J, El Haj A J

机构信息

Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, Radcliffe Observatory Quarter, University of Oxford, Oxford, UK.

Centre for Regenerative Medicine, The University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK.

出版信息

NPJ Regen Med. 2021 Apr 12;6(1):24. doi: 10.1038/s41536-021-00134-2.

DOI:10.1038/s41536-021-00134-2
PMID:33846347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8042047/
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.

摘要

再生医学产品从实验室成功走向临床应用具有挑战性,需要多学科方法。尚未得到充分认识的是定量数据分析和数学建模方法在支持这一过程方面的潜力。在本综述中,我们强调了在再生医学流程的各个阶段嵌入数学和计算方法的大量机会。我们探讨了如何将定量数学和计算方法与最先进的再生医学研究相结合,从而开发出可能更快转化为临床应用的疗法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b888/8042047/c0c1314d2781/41536_2021_134_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b888/8042047/8cfe878756ef/41536_2021_134_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b888/8042047/c0c1314d2781/41536_2021_134_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b888/8042047/8cfe878756ef/41536_2021_134_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b888/8042047/c0c1314d2781/41536_2021_134_Fig2_HTML.jpg

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