再生(生物学)
个性化
脚手架
计算机科学
再生医学
生物信息学
数据科学
作者
Patrina Sp Poh,Thomas Lingner,Stefan Kalkhof,Sven Märdian,Jan Baumbach,Patrick Dondl,Georg N Duda,Sara Checa
标识
DOI:10.1016/j.copbio.2021.12.002
摘要
Additive manufacturing (AM) can deliver personalized scaffolds to support large volume defect tissue regeneration — a major clinical challenge in many medical disciplines. The freedom in scaffold design and composition (biomaterials and biologics) offered by AM yields a plethora of possibilities but is confronted with a heterogenous biological regeneration potential across individuals. A key challenge is to make the right choice for individualized scaffolds that match biology, anatomy, and mechanics of patients. This review provides an overview of state-of-the-art technologies, that is, in silico modelling for scaffold design, omics and bioinformatics to capture patient biology and information technology for data management, that, when combined in a synergistic way with AM, have great potential to make personalized tissue regeneration strategies available to all patients, empowering precision medicine.
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