From Insights To Impact: Predictive Models And PAT For More Efficient And Robust Biologics Manufacturing

Bringing a biologic from cell culture to commercial vial requires far more than simply increasing manufacturing volume — it demands precise, data-driven scale-up strategies capable of maintaining product quality, process consistency, and supply reliability across every stage of development. Biologic scale-up is an inherently complex process where biological variability, engineering constraints, and critical quality attributes must remain carefully balanced to ensure successful commercialization. In addition, drug product formulation processes, particularly lyophilization, introduce another layer of complexity that can significantly influence product stability, shelf life, manufacturing efficiency, and overall cost of goods. Even small variations in process conditions can impact critical quality attributes, operational robustness, and long-term commercial performance.

As manufacturing technologies evolve, predictive modeling and Process Analytical Technology (PAT) are transforming biologics development into a more proactive, data-enriched, and highly controlled process. This webinar explores how advanced scale-up methodologies and real-time analytical technologies strengthen both drug substance and drug product manufacturing by enabling deeper process understanding and more informed decision-making.