Description:
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.
Sponsor:
Topical i : Comprehensive Quality by Design in Pharmaceutical Development and Manufacture
Co-Sponsor(s):
Pharmaceuticals (15b)
Chair:
Sze Wing Wong
Research Scientist
Eli Lilly and Company
Chemical Product Research and Development
Lilly Corporation Center
Indanapolis, IN 46285
Phone Number: 317-276-0015
Email: wongsz@lilly.com
Research Scientist
Eli Lilly and Company
Chemical Product Research and Development
Lilly Corporation Center
Indanapolis, IN 46285
Phone Number: 317-276-0015
Email: wongsz@lilly.com
Co-Chair:
Jose E. Tabora
Senior Principal Scientist
Bristol-Myers Squibb
Research and Development
One Squibb Drive
New Brunswick, NJ 08901
Phone Number: 732-227-5099
Email: jose.tabora@bms.com
Senior Principal Scientist
Bristol-Myers Squibb
Research and Development
One Squibb Drive
New Brunswick, NJ 08901
Phone Number: 732-227-5099
Email: jose.tabora@bms.com
Papers:
See more of this Group/Topical: Topical i : Comprehensive Quality by Design in Pharmaceutical Development and Manufacture
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