Correlating in vitro performance with physico-chemical characteristics of nanofibrous scaffolds for skin tissue engineering using supervised machine learning algorithms

The engineering of polymeric scaffolds for tissue regeneration has known a phenomenal growth during the past decades as materials scientists seek to understand cell biology and cell–material behaviour. Statistical methods are being applied to physico-chemical properties of polymeric scaffolds for ti...

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Hlavní autoři:	Lakshmi Y. Sujeeun, Nowsheen Goonoo, Honita Ramphul, Itisha Chummun, Fanny Gimié, Shakuntala Baichoo, Archana Bhaw-Luximon
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	The Royal Society 2020-12-01
Edice:	Royal Society Open Science
Témata:	supervised learning algorithms skin tissue engineering polymeric scaffold performance cell–material interaction predictive model
On-line přístup:	https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.201293
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