Comparison of mechanistic and hybrid modeling approaches for characterization of a CHO cultivation process: Requirements, pitfalls and solution paths.

Abstract in brief

• The study compares mechanistic and hybrid modeling approaches for analyzing a CHO cell culture process, highlighting the importance of experimental planning for successful model implementation.
• Results show that mechanistic models, which rely on known equations, are less data-dependent and still informative, while hybrid models are more accurate but require more data.
• A key recommendation is that selecting just four strategic initial experiments can effectively represent the entire process, emphasizing the need for careful experimental design to enhance modeling accuracy in bioprocessing.