Multivariate Data Analysis In Biopharmaceutical Development

Multivariate Data Analysis (MVA) and Design of Experiments (DoE) are advanced analysis techniques which enable biopharmaceutical companies to improve their data analysis and ultimately accelerate development, reduce process-related costs and shorten the time to market. Given the large number and complexity of variables in biological production processes, MVA has significant advantages over traditional statistical methods.

In this live webcast, we will show applications of MVA and DoE in bioprocess development and illustrate how these powerful tools can be integrated.