Multivariate Analysis and Reduced Variability in Support of Development or Manufacture of Medicines

Chair(s):
Hebrault, D., METTLER TOLEDO AutoChem
Co-chair(s):
Albrecht, J., Bristol-Myers Squibb

This session is focused on the advances in the application of multivariate statistical approaches (both latent variable and other approaches) to support the development and manufacture of medicine through the reduction of variability or deviation; i.e. increasing process robustness. These approaches can include data visualization, statistical process control algorithms, chemometrics, and chemical or biochemical process modeling for drug product and drug substance applications. Contributions for both industry and academia are encouraged.

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