About this document
Machine Learning in Bioprocess Development by Narcisse Serge Nouadjep is a document available to read on EtoBox.
This review discusses the application of machine learning (ML) in bioprocess development, highlighting its potential in strain engineering, bioprocess optimization, scale-up, and monitoring. It emphasizes the importance of data-driven methods to enhance experimental efficiency and overcome traditional analytical bottlenecks. The authors also address current challenges and future opportunities for integrating ML techniques in biotechnology.
- Author
- Narcisse Serge Nouadjep
- Language
- EN