Exploiting Statistical Experiment Design to Accelerate Pharmaceutical R&D
Автор: Statistics Made Easy by Stat-Ease
Загружено: 2024-04-17
Просмотров: 937
Learn how multicomponent and multifactor design-of-experiment (DOE) tools empower experimenters to quickly converge on the quality by design (QbD) “sweet” spot—ingredient and factor settings that meet all specifications at minimal cost. All examples come directly from pharmaceutical industries.
Engineers, chemists and scientists working on drug development will do well by attending this briefing on DOEs for process screening and characterization, response surface methods (RSM) for process optimization (e.g., manufacturing of generics), and mixture design for optimal formulation (e.g., active pharmaceutical ingredients-APIs).
Download the slides: https://cdn.statease.com/media/public...
Learn the Keys to Successful DOE: • Keys to Successful DOE
Process characterization in the pharma industry: • Process Characterization in the Pharma Ind...
Combine mixture & process designs: • Streamlined Models for Combined Mixture Pr...
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