Wheels turning: CHO cell modeling moves into a digital biomanufacturing era: Subtitle: CHO Metabolic Modeling.

Abstract in brief

• Recent advances in biologics production with CHO cells are driven by better understanding of how changes in cell culture conditions affect cell metabolism, productivity, and product quality.
• Insilico models, including kinetic, mechanistic, and multiomics approaches, are essential for predicting and optimizing process parameters, with technologies like digital twins and data-driven analysis supporting real-time control and smarter manufacturing.
• The integration of machine learning, big data analytics, and hybrid modeling into bioprocessing aims to make drug development and production more efficient and cost-effective, aligning with Industry 4.0 goals of digitalization and automation in biopharmaceuticals.]