Maximizing neotissue growth kinetics in a perfusion bioreactor: An in silico strategy using model reduction and Bayesian optimization-Reference-Cited by-同舟云学术

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

Author:

Mehrian Mohammad¹²^ORCID,Guyot Yann¹²,Papantoniou Ioannis²³,Olofsson Simon⁴,Sonnaert Maarten²⁵,Misener Ruth⁴,Geris Liesbet¹²⁶

Affiliation:

1. Biomechanics Research Unit; GIGA In Silico Medicine; University of Liège; Liège Belgium

2. Prometheus; The Division of Skeletal Tissue Engineering; KU Leuven; Leuven Belgium

3. Skeletal Biology and Engineering Research Center; KU Leuven; Leuven Belgium

4. Department of Computing; Imperial College London; London United Kingdom

5. Department of Metallurgy and Materials Engineering; KU Leuven; Leuven Belgium

6. Biomechanics Section; KU Leuven; Leuven Belgium

Funder

Fonds Wetenschappelijk Onderzoek

ERC Grant Agreement

FP7 Ideas: European Research Council

Fonds De La Recherche Scientifique - FNRS

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Reference56 articles.

3. Brochu E. Cora V. M. De Freitas N 2010

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. Bayesian cell therapy process optimization;Biotechnology and Bioengineering;2024-02-19

5. Bayesian Optimization for the Inverse Problem in Electrocardiography;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05