Scaling up bioprocesses often brings critical challenges, as variations in cell culture optimization can directly impact product quality, yield, and process reliability. These inconsistencies put additional strain on downstream processing and may compromise overall efficiency. A deep understanding of bioreactor dynamics is essential to achieve consistent performance at different scales.
To address these scale-up hurdles, robust methods for maintaining consistent cell culture conditions—including agitation, aeration, and nutrient delivery—are required. Leveraging AI and machine learning in bioprocessing enables predictive modeling of outcomes, making bioreactor scaling and technology transfer more seamless and reliable.
Our webinar offers solutions for navigating bioreactor scaling. Through discussions and case studies, participants will learn to match cell culture conditions effectively and utilize AI/ML tools. Join us to improve process reliability and product quality in biopharmaceutical production.
Who Should Attend:
Featured Presenters
Mr. Prerak Dongaonkar
Product Owner and Support Manager
Tridiagonal Solutions