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Exploiting Statistical Experiment Design to Accelerate Pharmaceutical R&D

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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/documents/DOE_for_Pharma_SE_Webinar_2024-after_rev.pdf Learn the Keys to Successful DOE: https://www.youtube.com/watch?v=uhJoFBqbMhY Process characterization in the pharma industry: https://youtu.be/TruU1qJ13WI Combine mixture & process designs: https://youtu.be/Ya6FRQyhaMg Connect with Mark on LinkedIn: https://www.linkedin.com/in/markstat/ Subscribe to our newsletters to be notified about upcoming webinars: https://www.statease.com/publications/signup Stat-Ease, Inc. www.statease.com Facebook: https://www.facebook.com/Stat-Ease-Inc-245777992103427 Instagram: https://instagram.com/stateaseinc LinkedIn: https://www.linkedin.com/company/215022

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