Harnessing the potential of machine learning for advancing “Quality by Design” in biomanufacturing

Ensuring consistent high yields and product quality are key challenges in biomanufacturing. Even minor deviations in critical process parameters (CPPs) such as media and feed compositions can significantly affect product critical quality attributes (CQAs). To identify CPPs and their interdependencie...

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Detalles Bibliográficos
Autores principales: Walsh, Ian, Myint, Matthew, Nguyen-Khuong, Terry, Ho, Ying Swan, Ng, Say Kong, Lakshmanan, Meiyappan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744891/
https://www.ncbi.nlm.nih.gov/pubmed/35000555
http://dx.doi.org/10.1080/19420862.2021.2013593

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744891/
https://www.ncbi.nlm.nih.gov/pubmed/35000555
http://dx.doi.org/10.1080/19420862.2021.2013593

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