Biologic Production: How Digital Twins And Hybrid Modelling Optimize Cell Culture Process For Better Production

By Thomas de Marchin, Pierre Lebrun, Jean-François Michiels, and Haleh Nekoee

Developing biologic drugs efficiently depends on effective cell culture processes. However, the inherent variability of living organisms often creates significant challenges. This article explores how hybrid models address these issues. Hybrid models combine data-driven and mechanistic approaches to improve the effectiveness of digital twins, which are virtual representations of physical systems. This integration allows for strong extrapolation capabilities and accurate capture of complex biological behaviors.

As a result, hybrid models enhance real-time optimization, enable more reliable predictive scale-up, and streamline regulatory compliance in biologic drug development. This innovative modeling approach significantly reduces the complexity of experimental design and accelerates the development of new biologic products.