De-Risking Cell Line Development

On-Demand Webinar | 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.

In this webinar, we will discuss the benefits of implementing automation and predictive modeling to de-risk and accelerate 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.

Clear form data

Please Complete the Form

First Name *

Last Name *

E-Mail *

Phone Number *

Company *

Job Title *

Address *

Country *

Postal Code *

I would like to sign up for newsletters from Sartorius (Sartorius AG and its affiliated companies) based of my personal interests.
I can revoke my consent at any time with effect for the future by sending an e-mail to unsubscribe@sartorius.com or by clicking on the "unsubscribe" link in e-mails I have received.

* These fields are required Information on the use of your data can be found in our privacy policy

Complete Form to Watch

Yash D. Patel, Ph.D.

Product Manager

Dr. Yash D. Patel is a Product Manager for Cell Line Development at Sartorius and has been with the company since August 2021. He has a PhD in chemical and biological engineering from The University of Sheffield and 15 years of experience in CHO cell line development and engineering. He has worked with CDMOs such as Lonza and collaborated with AstraZeneca to patent novel CLD technology and author numerous publications within the field.