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Applications of Multivariate Data Analysis in Pharmaceutical Process Development

Chair(s):
Wong, S. W., Eli Lilly and Company
Co-chair(s):
Tabora, J. E., Bristol Myers Squibb

The quality by design paradigm has rapidly increased the adoption of multivariate data analysis in Pharmaceutical Development. The application of these powerful techniques on experimental, process, or PAT data can result in significant increases of development productivity and substantial reduction of process risk. Authors are encouraged to submit papers discussing case studies in which multivariate data analysis was applied to increase process understanding to improve process robustness and performance or decrease development time.

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2010 Annual Meeting
AIChE Members $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $225.00
Comprehensive Quality by Design in Pharmaceutical Development and Manufacture only
AIChE Members $100.00
AIChE Food, Pharmaceutical & Bioengineering Division Members Free
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $150.00