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Enabling technologies towards personalization of scaffolds for large bone defect regeneration.
Poh, Patrina Sp; Lingner, Thomas; Kalkhof, Stefan; Märdian, Sven; Baumbach, Jan; Dondl, Patrick; Duda, Georg N; Checa, Sara.
Afiliação
  • Poh PS; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Julius Wolff Institute, Germany. Electronic address: patrina.poh@bih-charite.de.
  • Lingner T; Genevention GmbH, Göttingen, Germany.
  • Kalkhof S; Fraunhofer Institute for Cell Therapy and Immunology, Department of Therapy Validation, 04103 Leipzig, Germany; Institute for Bioanalysis, University of Applied Sciences Coburg, Friedrich-Streib-Straße 2, 96450 Coburg, Germany.
  • Märdian S; Center for Muskuloskeletal Surgery, Charité - Universitätsmedizin Berlin, Germany.
  • Baumbach J; Chair of Computational Systems Biology, Universität Hamburg, Germany.
  • Dondl P; Department of Applied Mathematics, Albert-Ludwigs-Universität Freiburg, Hermann-Herder-Str. 10, 79111 Freiburg i. Br., Germany.
  • Duda GN; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Julius Wolff Institute, Germany.
  • Checa S; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Julius Wolff Institute, Germany.
Curr Opin Biotechnol ; 74: 263-270, 2022 04.
Article em En | MEDLINE | ID: mdl-35007988
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Engenharia Tecidual / Alicerces Teciduais Limite: Humans Idioma: En Revista: Curr Opin Biotechnol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Engenharia Tecidual / Alicerces Teciduais Limite: Humans Idioma: En Revista: Curr Opin Biotechnol Ano de publicação: 2022 Tipo de documento: Article