Embracing Data-Driven Modeling Approaches Into Biopharmaceutical Processing

Data-driven approaches are reshaping biopharmaceutical manufacturing. From optimizing cell culture media to enabling predictive control in perfusion bioreactors, scientists are applying statistical modeling and machine learning to boost productivity and ensure product quality.

This article explores how hybrid modeling frameworks and process-aware control systems are moving the industry beyond trial-and-error experimentation.

Continue reading to learn how experts are unlocking new efficiencies across the bioprocess lifecycle, driving smarter and more scalable biologics production.