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Optimization of Culture Conditions in a Bioreactor for Vascular Tissue Engineering Using a Mathematical Model of Vascular Growth and Remodeling

机译:使用血管生长和重塑的数学模型优化生物反应器中用于血管组织工程的培养条件

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Functional vascular tissue engineering (VTE) aims to grow tissue engineered blood vessels in vitro. Bioreactors maintain the complex physical, mechanical and biochemical conditions for the optimal culture of vascular tissues. However, the growth and remodeling processes that take place in vascular constructs during maturation in a bioreactor are difficult both to understand and to optimize because many factors and interactions influence the vascular regeneration. In this work, this problem was approached from the point of view of process control: first, genetic programing (GP) was used to search a growth and remodeling model from experimental data harvested during culture of vascular constructs; second, Markov decision process (MDP) was used to select optimal culture parameters in the bioreactor. To validate this approach, this new controller based on GP and MDP was confronted with a highly non-linear mathematical model of growth and remodeling in VTE. The conducted numerical simulations showed the ability of the controller to maximize growth rate and to generate hypotheses about the processes in bioreactors. Insights from this approach suggest a new interesting way to model the regeneration of a tissue engineered artery by considering multiple stages to the maturation of vascular tissues.
机译:功能性血管组织工程(VTE)旨在体外培养组织工程血管。生物反应器维持复杂的物理,机械和生化条件,以最佳地培养血管组织。然而,由于许多因素和相互作用影响血管再生,因此在生物反应器成熟期间在血管构建物中发生的生长和重塑过程既难以理解又难以优化。在这项工作中,从过程控制的角度解决了这个问题:首先,使用基因编程(GP)从在培养血管结构过程中收集的实验数据中搜索生长和重塑模型;其次,使用马尔可夫决策过程(MDP)来选择生物反应器中的最佳培养参数。为了验证这种方法,基于GP和MDP的新控制器面临着VTE中生长和重构的高度非线性数学模型。进行的数值模拟表明控制器具有最大化生长速率并生成有关生物反应器过程的假设的能力。通过这种方法的见解提出了一种新的有趣方法,可以通过考虑血管组织成熟的多个阶段来模拟组织工程动脉的再生。

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