The digital transformation of biomanufacturing is reshaping the modelling of Chinese Hamster Ovary (CHO) cells, a cornerstone of therapeutic protein production. Advances in mechanistic modelling, coupled with data-driven approaches such as machine learning and artificial intelligence, are enabling a more predictable, scalable and dynamic upstream process control. The integration of multi-omics datasets and the emergence of digital twins are accelerating the shift toward smart bioprocessing, where real-time decision-making and process optimization become feasible. This convergence of computational and biological systems marks a pivotal evolution in CHO cell modelling, positioning it as a strategic enabler of next-generation biologics manufacturing.
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