Multi‐objective Bayesian algorithm automatically discovers low‐cost high‐growth serum‐free media for cellular agriculture application

In this work, we applied a multi‐information source modeling technique to solve a multi‐objective Bayesian optimization problem involving the simultaneous minimization of cost and maximization of growth for serum‐free C2C12 cells using a hyper‐volume improvement acquisition function. In sequential b...

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Detalles Bibliográficos
Autores principales: Cosenza, Zachary, Block, David E., Baar, Keith, Chen, Xingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390662/
https://www.ncbi.nlm.nih.gov/pubmed/37533728
http://dx.doi.org/10.1002/elsc.202300005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390662/
https://www.ncbi.nlm.nih.gov/pubmed/37533728
http://dx.doi.org/10.1002/elsc.202300005

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