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Explore advanced predictive modeling techniques in cell line development through this 39-minute panel webinar featuring Dr.-Ing Ali Safari and Dr. Monika Zauner. Discover how artificial intelligence and machine learning are revolutionizing the biopharmaceutical manufacturing process by improving clone selection efficiency from thousands of initial candidates down to a single manufacturing clone. Learn about the challenges researchers face during multiple selection rounds in cell line development, particularly in single cell cloning where individual monoclonal cells must be isolated and expanded. Understand how traditional selection strategies relying solely on fluorescence data can lead to inaccurate clone selection and the discarding of potentially superior clones. Examine how automation and advanced predictive modeling methodologies can streamline workflows, provide more consistent and accurate results, and reduce overall development time. Gain insights into how AI and ML technologies improve the probability of identifying superior clones compared to conventional approaches, addressing the critical resource challenges in cell line development. Participate in live Q&A sessions to deepen your understanding of these cutting-edge applications in biopharmaceutical manufacturing.
