Applications of Multivariate Data Analysis in Pharmaceutical Process Development

Wednesday, November 10, 2010: 12:30 PM
Grand Ballroom B (Salt Palace Convention Center)

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
Email: wongsz@lilly.com

Co-Chair:
Jose E. Tabora
Email: jose.tabora@bms.com

- indicates paper has an Extended Abstract file available on CD.



12:30 PM
(445a) Optimal Material Selection for Oral Dosage Development and Manufacture Using Optimization Techniques and Multivariate Latent Variable Models
Salvador Garcia-Munoz, Jose Mercado, Israel Cotto, Victor Ruiz, Ivelisse Colon-Rivera, Denise Rivkees, Josh Shockey, Matt Shaffer and Leah Appel


12:50 PM
(445b) Applications of Genetic Algorithms for Variable Selection in Pharmaceutical Development
Jose E. Tabora, Jacob Albrecht, James Bergum, Amanda Rogers and Victor Rosso



1:30 PM



File available
2:30 PM
(445f) Imaging Pharmaceutical Fluidised Bed Multi-Processes with Electrical Capacitance Tomography
Haigang Wang, Lubomir Gradinarsky, Staffan Folestad, Proctor Ian and Wuqiang Yang