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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Autores principales:	Kun Xue, FuKe Wang, Ady Suwardi, Ming-Yong Han, Peili Teo, Pei Wang, Shijie Wang, Enyi Ye, Zibiao Li, Xian Jun Loh
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Medicine (General) R5-920 Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/dfdd923bb12846ee8b5ea3a79671d6de
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id	oai:doaj.org-article:dfdd923bb12846ee8b5ea3a79671d6de
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spelling	oai:doaj.org-article:dfdd923bb12846ee8b5ea3a79671d6de2021-11-28T04:37:30ZBiomaterials by design: Harnessing data for future development2590-006410.1016/j.mtbio.2021.100165https://doaj.org/article/dfdd923bb12846ee8b5ea3a79671d6de2021-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2590006421000739https://doaj.org/toc/2590-0064Biomaterials 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.Kun XueFuKe WangAdy SuwardiMing-Yong HanPeili TeoPei WangShijie WangEnyi YeZibiao LiXian Jun LohElsevierarticleMedicine (General)R5-920Biology (General)QH301-705.5ENMaterials Today Bio, Vol 12, Iss , Pp 100165- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Biology (General) QH301-705.5
spellingShingle	Medicine (General) R5-920 Biology (General) QH301-705.5 Kun Xue FuKe Wang Ady Suwardi Ming-Yong Han Peili Teo Pei Wang Shijie Wang Enyi Ye Zibiao Li Xian Jun Loh Biomaterials by design: Harnessing data for future development
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	article
author	Kun Xue FuKe Wang Ady Suwardi Ming-Yong Han Peili Teo Pei Wang Shijie Wang Enyi Ye Zibiao Li Xian Jun Loh
author_facet	Kun Xue FuKe Wang Ady Suwardi Ming-Yong Han Peili Teo Pei Wang Shijie Wang Enyi Ye Zibiao Li Xian Jun Loh
author_sort	Kun Xue
title	Biomaterials by design: Harnessing data for future development
title_short	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_sort	biomaterials by design: harnessing data for future development
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/dfdd923bb12846ee8b5ea3a79671d6de
work_keys_str_mv	AT kunxue biomaterialsbydesignharnessingdataforfuturedevelopment AT fukewang biomaterialsbydesignharnessingdataforfuturedevelopment AT adysuwardi biomaterialsbydesignharnessingdataforfuturedevelopment AT mingyonghan biomaterialsbydesignharnessingdataforfuturedevelopment AT peiliteo biomaterialsbydesignharnessingdataforfuturedevelopment AT peiwang biomaterialsbydesignharnessingdataforfuturedevelopment AT shijiewang biomaterialsbydesignharnessingdataforfuturedevelopment AT enyiye biomaterialsbydesignharnessingdataforfuturedevelopment AT zibiaoli biomaterialsbydesignharnessingdataforfuturedevelopment AT xianjunloh biomaterialsbydesignharnessingdataforfuturedevelopment
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Biomaterials by design: Harnessing data for future development

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