An integrated theoretical-experimental approach to accelerate translational tissue engineering.
An integrated theoretical-experimental approach to accelerate translational tissue engineering.
复制标题
DOI：
10.1002/term.2346
复制
发表时间：
2018-01
影响因子：
3.3
通讯作者：
Shipley RJ
中科院分区：
文献类型：
--
作者：
Coy RH;Evans OR;Phillips JB;Shipley RJ
利用生物工程组织的植入性设备越来越显示出作为可行的临床解决方案的前景。目前，生物工程结构的设计是根据实验结果来指导的，这些实验用于测试生物材料、细胞和化学因素的各种不同组合和空间布置。迫切需要加快设计过程，降低财务成本，同时最大限度地减少动物实验所需的次数。这些目标可以通过纳入数学模型作为初步设计工具来实现。在这里，我们重点介绍用于周围神经修复的组织工程化结构，这种结构旨在帮助周围神经损伤后神经和血管的生长和修复。我们提供了对数学建模在组织工程中可以扮演的角色的洞察，并鼓励将建模作为一种能够改进和加速神经修复结构设计的工具的使用。为了说明数学建模指导结构设计的潜力，文中给出了具体的案例研究。版权所有(C)2016由John Wiley&Sons Ltd.出版的《组织工程与再生医学作者杂志》。
Implantable devices utilizing bioengineered tissue are increasingly showing promise as viable clinical solutions. The design of bioengineered constructs is currently directed according to the results of experiments that are used to test a wide range of different combinations and spatial arrangements of biomaterials, cells and chemical factors. There is an outstanding need to accelerate the design process and reduce financial costs, whilst minimizing the required number of animal‐based experiments. These aims could be achieved through the incorporation of mathematical modelling as a preliminary design tool. Here we focus on tissue‐engineered constructs for peripheral nerve repair, which are designed to aid nerve and blood vessel growth and repair after peripheral nerve injury. We offer insight into the role that mathematical modelling can play within tissue engineering, and motivate the use of modelling as a tool capable of improving and accelerating the design of nerve repair constructs in particular. Specific case studies are presented in order to illustrate the potential of mathematical modelling to direct construct design. Copyright © 2016 The Authors Journal of Tissue Engineering and Regenerative Medicine Published by John Wiley & Sons Ltd.
登录
查看更多内容
DOI：
10.1098/rsta.2009.0055
发表时间：
2009-05-28
影响因子：
5
作者：
Sanz-Herrera, J. A.;Garcia-Aznar, J. M.;Doblare, M.
通讯作者：
Doblare, M.
影响因子：
6.4
作者：
Bell, Juliet H. A.;Haycock, John W.
通讯作者：
Haycock, John W.
影响因子：
9.7
作者：
Joo, Na-Young;Knowles, Jonathan C.;Hyun, Jung Keun
通讯作者：
Hyun, Jung Keun
影响因子：
3.8
作者：
Lawrence, Benjamin J.;Devarapalli, Mamatha;Madihally, Sundararajan V.
通讯作者：
Madihally, Sundararajan V.
影响因子：
14
作者：
Georgiou, Melanie;Bunting, Stephen C. J.;Phillips, James B.
通讯作者：
Phillips, James B.