Bioprocess Parameter Optimisation and Cell Culture Intelligence: Machine Learning Approaches to Enhanced Biopharmaceutical Development and Manufacturing

Authors

  • Byung-Woo Kim Professor of Automotive Engineering, Korea University

Keywords:

bioprocess parameter optimisation, cell culture intelligence, machine learning approaches to enhanced biopharmaceutical development, manufacturing

Abstract

The pharmaceutical industry is key to the healthcare ecosystem; within this, biopharmaceuticals or biological drugs are a significant domain. They are valued for their importance in treating patients with malignant diseases, genetic disorders, or producing vaccines against diseases. This field, compared to conventional pharmaceutical products, deals with drugs derived from living organisms that are far more complicated and more difficult for quality assurance.

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Published

30-06-2024

How to Cite

[1]
“Bioprocess Parameter Optimisation and Cell Culture Intelligence: Machine Learning Approaches to Enhanced Biopharmaceutical Development and Manufacturing”, Cybersecurity & Net. Def. Research, vol. 4, no. 1, pp. 89–97, Jun. 2024, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/cndr/article/view/870