Avoiding Scale-Up Surprises: Applying AI And Rapid Prototyping To Media And Process Development

Complex biologics and compressed timelines are exposing a fundamental weakness in traditional development workflows: decisions made in isolation during early-stage media and process development often don't reveal scale-up challenges until programs are already committed to manufacturing.

This session examines how teams can break that pattern by integrating manufacturability considerations, computational modeling, and rapid prototyping from the start. Thermo Fisher Scientific experts walk through a representative development journey, from AI-informed media design and analytical testing through process qualification and large-scale cGMP readiness.

The discussion covers how data-driven approaches and pilot-scale validation can surface potential issues earlier, reduce costly late-stage modifications, and support more confident transitions from bench to bioreactor. Tune in below for practical perspectives on balancing experimental validation with predictive modeling, avoiding common formulation pitfalls during scale-up, and building media solutions that perform consistently across development phases.