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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...

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Detalles Bibliográficos
Autores principales: Xue, Kun, Wang, FuKe, Suwardi, Ady, Han, Ming-Yong, Teo, Peili, Wang, Pei, Wang, Shijie, Ye, Enyi, Li, Zibiao, Loh, Xian Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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.
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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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