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Biomaterials by design: Harnessing data for future development
Biomaterials is an interdisciplinary field of research to achieve desired biological responses from new materials, regardless of material type. There have been many exciting innovations in this discipline, but commercialization suffers from a lengthy discovery to product pipeline, with many failures...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628044/ https://www.ncbi.nlm.nih.gov/pubmed/34877520 http://dx.doi.org/10.1016/j.mtbio.2021.100165 |
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author | Xue, Kun Wang, FuKe Suwardi, Ady Han, Ming-Yong Teo, Peili Wang, Pei Wang, Shijie Ye, Enyi Li, Zibiao Loh, Xian Jun |
author_facet | Xue, Kun Wang, FuKe Suwardi, Ady Han, Ming-Yong Teo, Peili Wang, Pei Wang, Shijie Ye, Enyi Li, Zibiao Loh, Xian Jun |
author_sort | Xue, Kun |
collection | PubMed |
description | Biomaterials is an interdisciplinary field of research to achieve desired biological responses from new materials, regardless of material type. There have been many exciting innovations in this discipline, but commercialization suffers from a lengthy discovery to product pipeline, with many failures along the way. Success can be greatly accelerated by harnessing machine learning techniques to comb through large amounts of data. There are many potential benefits of moving from an unstructured empirical approach to a development strategy that is entrenched in data. Here, we discuss the recent work on the use of machine learning in the discovery and design of biomaterials, including new polymeric, metallic, ceramics, and nanomaterials, and how machine learning can interface with emerging use cases of 3D printing. We discuss the steps for closer integration of machine learning to make this exciting possibility a reality. |
format | Online Article Text |
id | pubmed-8628044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86280442021-12-06 Biomaterials by design: Harnessing data for future development Xue, Kun Wang, FuKe Suwardi, Ady Han, Ming-Yong Teo, Peili Wang, Pei Wang, Shijie Ye, Enyi Li, Zibiao Loh, Xian Jun Mater Today Bio Review Article Biomaterials is an interdisciplinary field of research to achieve desired biological responses from new materials, regardless of material type. There have been many exciting innovations in this discipline, but commercialization suffers from a lengthy discovery to product pipeline, with many failures along the way. Success can be greatly accelerated by harnessing machine learning techniques to comb through large amounts of data. There are many potential benefits of moving from an unstructured empirical approach to a development strategy that is entrenched in data. Here, we discuss the recent work on the use of machine learning in the discovery and design of biomaterials, including new polymeric, metallic, ceramics, and nanomaterials, and how machine learning can interface with emerging use cases of 3D printing. We discuss the steps for closer integration of machine learning to make this exciting possibility a reality. Elsevier 2021-11-23 /pmc/articles/PMC8628044/ /pubmed/34877520 http://dx.doi.org/10.1016/j.mtbio.2021.100165 Text en © 2021 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Xue, Kun Wang, FuKe Suwardi, Ady Han, Ming-Yong Teo, Peili Wang, Pei Wang, Shijie Ye, Enyi Li, Zibiao Loh, Xian Jun Biomaterials by design: Harnessing data for future development |
title | Biomaterials by design: Harnessing data for future development |
title_full | Biomaterials by design: Harnessing data for future development |
title_fullStr | Biomaterials by design: Harnessing data for future development |
title_full_unstemmed | Biomaterials by design: Harnessing data for future development |
title_short | Biomaterials by design: Harnessing data for future development |
title_sort | biomaterials by design: harnessing data for future development |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628044/ https://www.ncbi.nlm.nih.gov/pubmed/34877520 http://dx.doi.org/10.1016/j.mtbio.2021.100165 |
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