In the field of regenerative medicine, optimization of the parameters leading to a desirable outcome remains a huge challenge. Examples include protocols for the guided differentiation of pluripotent cells towards specialized and functional cell types, phenotypic maintenance of primary cells in cell culture, or engineering of materials for improved tissue interaction with medical implants. This challenge originates from the enormous design space for biomaterials, chemical and biochemical compounds, and incomplete knowledge of the guiding biological principles. To tackle this challenge, high-throughput platforms allow screening of multiple perturbations in one experimental setup. In this review, we provide an overview of screening platforms that are used in regenerative medicine. We discuss their fabrication techniques, and in silico tools to analyze the extensive data sets typically generated by these platforms.

中文翻译：

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筛选作为推动再生医学研究的策略

在再生医学领域，优化导致理想结果的参数仍然是一个巨大的挑战。示例包括用于引导多能细胞向特化和功能细胞类型分化的协议，细胞培养中原代细胞的表型维持，或用于改善组织与医疗植入物相互作用的材料工程。这一挑战源于生物材料、化学和生化化合物的巨大设计空间，以及对指导生物学原理的不完整知识。为了应对这一挑战，高通量平台允许在一个实验设置中筛选多个扰动。在这篇综述中，我们概述了用于再生医学的筛选平台。我们讨论他们的制造技术，