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Enabling technologies towards personalization of scaffolds for large bone defect regeneration

  • Patrina SP Poh
  • , Thomas Lingner
  • , Stefan Kalkhof
  • , Sven Märdian
  • , Jan Baumbach
  • , Patrick Dondl
  • , Georg N. Duda
  • , Sara Checa

Research output: Contribution to journalReview articlepeer-review

23 Scopus citations

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 languageEnglish
Pages (from-to)263-270
Number of pages8
JournalCurrent Opinion in Biotechnology
Volume74
DOIs
StatePublished - Apr 2022
Externally publishedYes

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