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Bioreactor scaling made simple

Cell culture scaling is a complicated process involving complex theories that drive transfer from one vessel to another while being under constant time and quality pressure. With market demand for new modalities and viral vector-based therapeutics comes increased pressure to scale more, better, and faster.

But newer molecules don’t come with a predetermined process development roadmap. That means researchers and developers essentially need more time for production trial and error and to identify proper scaleup. However, that is a luxury they cannot afford given the demand for faster, more efficient, and less costly scaleup.

Join this discussion to understand how digital standardized tools can simplify your scaling practices, and help you better predict and visualize scaling needs. Learn why advanced visualization and simulation capabilities are important to help you reduce upstream trial-and-error experimentation, and get your molecules to market faster.

Agenda:
- Learn the principal elements of the bioreactor scaling theory
- Explore the design space and understand current scaling challenges
- Know what underlying data is required for a scaling tool
- Understand standard and advanced capabilities of the Cytiva Bioreactor Scaler
- Gain key examples of customer digital scaling use-cases in action