COMPLIMENTARY WHITEPAPER:
Multivariate Data Analysis for Biotechnology and Bio-processing

Multivariate Data Analysis for Biotechnology and Bio-processing
Powerful Multivariate Data Analysis and Design of Experiments methods let biotechnology companies get deeper insights into their complex data to increase efficiency and innovation across the product lifecycle.

Applications range from raw material assessment to fermentation process monitoring and end-product quality control.

This whitepaper includes real-world examples from:

  • Candidate therapy discovery
  • Product formulation
  • Analysis of clinical trials
  • Batch process modelling

It also includes an illustration on how to apply advanced analytics across the product lifecycle and integrate with existing systems and instruments.

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