Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 263-270 |
| Number of pages | 8 |
| Journal | Current Opinion in Biotechnology |
| Volume | 74 |
| DOIs | |
| State | Published - Apr 2022 |
| Externally published | Yes |
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