Poh, Patrina Su PingPatrina Su PingPohLingner, ThomasThomasLingnerKalkhof, StefanStefanKalkhofMärdian, SvenSvenMärdianBaumbach, JanJanBaumbachDondl, PatrickPatrickDondlDuda, GeorgGeorgDudaCheca Esteban, SaraSaraCheca Esteban2024-06-282024-06-282022-04-01Current Opinion in Biotechnology 74: 263-270 (2022)https://hdl.handle.net/11420/48135Additive 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.en1879-04292022263270ElsevierTechnology::610: Medicine, HealthReview Article10.1016/j.copbio.2021.12.002Review Article