Client success story
Biologics Drug Substance Yield Enhancement
Business Value: Maximize Capacity and Reduce Cost of Goods
Summary: AI Tools Enhance the Fermentation Yield of Biologics
Companies commonly face the challenge of enhancing the yield of biologics drug substance fermentation processes to increase manufacturing capacity and lower cost of goods. bPrescient can support companies to leverage advanced machine learning techniques to optimize biologics processes and deliver higher fermentation yields thereby increasing capacity and lowering costs.
Challenge: Dynamically Optimize the Fermentation Titer
Biologics fermentation processes are complex biological systems involving many variables. The yield of the process is particularly driven by the fermentation titer that can be achieved. Optimizing the titer involves dynamically controlling physical and chemical parameters through the life cycle of the fermentation process.
Solution: ML and a Digital Twin Bolster Productivity
bPrescient uses advanced machine learning techniques with past fermentation data to develop complex models of the fermentation process. These models are incorporated into a digital twin to dynamically optimize the fermentation process in real-time, thereby bolstering fermentation productivity.
Outcome: Avoid Facilities Expansion Through Increased Yield
This approach allows companies to maximize their existing manufacturing capacity, avoid costly factory expansions and reduce drug substance cost of goods.
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