Webinar | From Virtual Cells to Real Yields: AI-Powered Cell Engineering
Wednesday, November 18, 2026
Session 1: 10 a.m. CET | 2:30 p.m. IST | 4 p.m. SGT | 5 p.m. HKT
Biomanufacturing still relies heavily on empirical experimentation to optimize complex cell systems and processes. Screening large numbers of variables and cell clones can consume valuable time and resources, while making it difficult to identify the factors that will ultimately drive productivity, quality, and scalability.
AI offers a more predictive approach. In this webinar, experts from Sartorius and ChemT Biotechnology will explore how AI-powered virtual cell modeling can predict responses to molecular, genetic, and process changes, while AI and machine learning can help identify high-producing CHO clones within days instead of weeks. Together, these approaches can help teams make informed development decisions earlier and focus resources on the most promising cells, conditions, and strategies.
Through real-world applications spanning T-cell expansion, CHO cell productivity, product quality, and process optimization, you’ll learn how predictive, model-guided approaches can shorten development timelines, reduce risk, and support more stable, scalable, and reproducible processes from early cell engineering through commercial-scale manufacturing.
What You Will Learn:
- Discover how AI-powered virtual cell models predict responses to biological changes.
- Learn how AI can identify high-producing CHO clones in days instead of weeks.
- Explore how predictive AI can optimize cell engineering and biomanufacturing.