Maximizing neotissue growth kinetics in a perfusion bioreactor: An in silico strategy using model reduction and Bayesian optimization.

Mehrian, Mohammad; Guyot, Yann; Papantoniou, Ioannis; Olofsson, Simon; Sonnaert, Maarten; Misener, Ruth; Geris, Liesbet

Mehrian, Mohammad; Guyot, Yann; Papantoniou, Ioannis; Olofsson, Simon; Sonnaert, Maarten; Misener, Ruth; Geris, Liesbet.

Afiliação

Mehrian M; Biomechanics Research Unit, GIGA In Silico Medicine, University of Liège, Liège, Belgium.
Guyot Y; Prometheus, The Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium.
Papantoniou I; Biomechanics Research Unit, GIGA In Silico Medicine, University of Liège, Liège, Belgium.
Olofsson S; Prometheus, The Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium.
Sonnaert M; Prometheus, The Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium.
Misener R; Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium.
Geris L; Department of Computing, Imperial College London, London, United Kingdom.

Biotechnol Bioeng ; 115(3): 617-629, 2018 03.

Article em En | MEDLINE | ID: mdl-29205280

Assuntos

Reatores Biológicos; Técnicas de Cultura de Células/métodos; Modelos Biológicos; Periósteo/citologia; Periósteo/crescimento & desenvolvimento; Engenharia Tecidual/métodos; Técnicas de Cultura de Células/instrumentação; Células Cultivadas; Humanos; Engenharia Tecidual/instrumentação

Palavras-chave

Bayesian optimization; bone tissue engineering; computational model; neotissue growth kinetics; perfusion bioreactor

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Periósteo / Técnicas de Cultura de Células / Reatores Biológicos / Engenharia Tecidual / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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