On-Demand Webinar: Advanced Predictive Modeling in Cell Line Development

Overview

Producing biopharmaceutical proteins necessitates the use of a high-performing cell line. The process begins with the selection from thousands of clones, which is narrowed down through several rounds of selection, each with its own set of criteria, to identify a single clone for production. This process is resource-intensive for researchers working on cell line development.

A critical phase in Cell Line Development (CLD) is single cell cloning, which entails the isolation and growth of individual monoclonal cells. This stage is fraught with the risk of choosing the wrong clone, potentially discarding more promising ones, and facing issues with cell growth post-cloning.

The adoption of automation can significantly enhance this process by ensuring greater consistency and precision, as well as shortening the overall timeline of the workflow.

In this webinar, experts will explore the latest advancements in predictive modeling that leverage artificial intelligence (AI) and machine learning (ML). They will demonstrate how their sophisticated approach increases the likelihood of selecting superior clones compared to conventional strategies that depend only on fluorescence data.

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Ali Safari, Dr.-Ing

Data Scientist for Cell Line and Media Testing Solutions
Sartorius Stedim Cellca GmbH

Ali Safari has been working at Sartorius since 2021 as the Data Scientist for Cell Line and Media Testing Solutions. He earned his engineering degree at the University of Erlangen/Nürnberg in Germany and continued at the same university doing a PhD in simulation of biological systems. His current role has a focus on providing data analytics solutions for cell line development and media optimization. As an active member of task forces in PD Ulm, he supports the creation of data analytics platforms in different projects supporting cell line and media development and raw material evaluation for media testing.

Monika Zauner, Dr

Scientist in Product Development
Sartorius Stedim Cellca GmbH

Monika is currently the Scientist in the Product Development at Sartorius Stedim Cellca GmbH, focusing on automation of CHO cell line development processes as well as more recently the establishment and automation of process steps for a HEK host cell for AAV production. In 2014, Monika completed her doctorate at the University of Stuttgart (IGVP) focusing on Identification and production of cardioinductive extracellular matrix proteins for applications in regenerative medicine.