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Multitechnology Biofabrication: A New Approach for the Manufacturing of Functional Tissue Structures?
Most available 3D biofabrication technologies rely on single-component deposition methods, such as inkjet, extrusion, or light-assisted printing. It is unlikely that any of these technologies used individually would be able to replicate the complexity and functionality of living tissues. Recently, n...
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Published in: | Trends in biotechnology (Regular ed.) 2020-12, Vol.38 (12), p.1316-1328 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Most available 3D biofabrication technologies rely on single-component deposition methods, such as inkjet, extrusion, or light-assisted printing. It is unlikely that any of these technologies used individually would be able to replicate the complexity and functionality of living tissues. Recently, new biofabrication approaches have emerged that integrate multiple manufacturing technologies into a single biofabrication platform. This has led to fabricated structures with improved functionality. In this review, we provide a comprehensive overview of recent advances in the integration of different manufacturing technologies with the aim to fabricate more functional tissue structures. We provide our vision on the future of additive manufacturing (AM) technology, digital design, and the use of artificial intelligence (AI) in the field of biofabrication.
Single-deposition biofabrication methods mimic form but have only limited ability to replicate function of biological tissues.Multitechnology biofabrication brings new perspectives towards functional tissue manufacturing.Integration of digital design and AI-powered real-time monitoring tools with multitechnology bioprinting will allow for high-throughput biofabrication.Although simple purpose-built bioprinting systems may find use in clinical environments, laboratory environments will strongly benefit from AI-driven multitechnology bioprinting systems. |
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ISSN: | 0167-7799 1879-3096 |
DOI: | 10.1016/j.tibtech.2020.04.014 |