MLATE: Machine learning for predicting cell behavior on cardiac tissue engineering scaffolds.

Rafieyan, Saeed; Vasheghani-Farahani, Ebrahim; Baheiraei, Nafiseh; Keshavarz, Hamidreza

Rafieyan, Saeed; Vasheghani-Farahani, Ebrahim; Baheiraei, Nafiseh; Keshavarz, Hamidreza.

Afiliação

Rafieyan S; Biomedical Engineering Division, Faculty of Chemical Engineering, Tarbiat Modares University, P.O. Box 14115-143, Tehran, Iran.
Vasheghani-Farahani E; Biomedical Engineering Division, Faculty of Chemical Engineering, Tarbiat Modares University, P.O. Box 14115-143, Tehran, Iran. Electronic address: evf@modares.ac.ir.
Baheiraei N; Tissue Engineering Division, Anatomy Department, Faculty of Medical Sciences, Tarbiat Modares University, P.O. Box 14115-143, Tehran, Iran.
Keshavarz H; Faculty of Electrical and Computer Engineering, Tarbiat Modares University, P.O. Box 14115-143, Tehran, Iran.

Comput Biol Med ; 158: 106804, 2023 05.

Article em En | MEDLINE | ID: mdl-36989740

Assuntos

Engenharia Tecidual; Alicerces Teciduais; Engenharia Tecidual/métodos; Coração; Aprendizado de Máquina; Software

Palavras-chave

Artificial intelligence; Cardiac tissue engineering; Cell behavior prediction; Machine learning; Scaffold fabrication

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Engenharia Tecidual / Alicerces Teciduais Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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