Hybrid deep modeling of a CHO-K1 fed-batch process: combining first-principles with deep neural networks

Introduction: Hybrid modeling combining First-Principles with machine learning is becoming a pivotal methodology for Biopharma 4.0 enactment. Chinese Hamster Ovary (CHO) cells, being the workhorse for industrial glycoproteins production, have been the object of several hybrid modeling studies. Most...

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Detalles Bibliográficos
Autores principales: Pinto, José, Ramos, João R. C., Costa, Rafael S., Rossell, Sergio, Dumas, Patrick, Oliveira, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515724/
https://www.ncbi.nlm.nih.gov/pubmed/37744245
http://dx.doi.org/10.3389/fbioe.2023.1237963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515724/
https://www.ncbi.nlm.nih.gov/pubmed/37744245
http://dx.doi.org/10.3389/fbioe.2023.1237963

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