De-Risking CHO Cell Line Development With Automation & Predictive Modeling

High-throughput, single-cell technologies can transform cell line development activities by ensuring precise cloning and rapid screening, significantly reducing timelines. Integrating machine learning (ML) algorithms and multivariate data analysis (MVDA) enables the reliable prediction of cellular phenotypes to streamline the selection of high-producing clones.

Discuss the benefits of automation and predictive modeling to de-risk and accelerate the clone selection.

What you will learn:

• Learn how automation accelerates single-cell cloning and clone selection in CLD
• Discover how AI and ML improve the prediction of high-producing clonal cell lines
• Understand the benefits of integrating MVDA for data-driven clone selection

Join the webinar on May 21st, 2025, either in the first session at 10.00 AM or the second session at 5.00 PM.

Register Now