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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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Lakshmi Y. Sujeeun, Nowsheen Goonoo, Honita Ramphul, Itisha Chummun, Fanny Gimié, Shakuntala Baichoo, Archana Bhaw-Luximon
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	The Royal Society 2020-12-01
Цуврал:	Royal Society Open Science
Нөхцлүүд:	supervised learning algorithms skin tissue engineering polymeric scaffold performance cell–material interaction predictive model
Онлайн хандалт:	https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.201293
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!