Supporting CAR-T Process Performance through Advanced Analytics

Originally Aired October 3, 2019

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Overview

Learn how Sartorius' Umetrics Suite of Data Analytics Solutions support and improve CAR-T process performance. Autologous cellular therapies, CAR-T in particular, present new challenges in manufacturing due to the variability of the starting material and the unique nature of each batch. So far most manufacturing processes employ a fairly rigid approach that does not compensate for the individual characteristics of the starting material. Drawing on years of experience applying analytics to manufacturing in the biotechnology space, we propose the use of these proven off the shelf tools to improve autologous therapies. These tools allow categorization of starting materials, process optimization, flexibility in manufacturing, enhanced real-time fault detection and prediction of critical quality attributes (CQA’s). An overview of benefits, necessary pre-requisites and implementation of advanced analytics in manufacturing safe and effective therapies will be provided.

In this webinar you’ll learn:

-About the application of multivariate methods to process data

-About process modeling and real-time advanced analytics

-How Umetrics Suite may support and improve CAR-T process performance

Who should attend: 
Anyone interested in utilization of data to support and improve process performance (Engineering, Manufacturing Technology, Process Development, Data Scientists, etc.)

In this webinar you’ll learn:

-About the application of multivariate methods to process data

-About process modeling and real-time advanced analytics

-How Umetrics Suite may support and improve CAR-T process performance

Who should attend: 
Anyone interested in utilization of data to support and improve process performance (Engineering, Manufacturing Technology, Process Development, Data Scientists, etc.)

Presenters

Presenter
Anna Persson
Head of Data Science
Sartorius Stedim Data Analytics
View Biography
Presenter
Mike Auerbach
Editor-in-Chief (Moderator)
American Pharmaceutical Review