Data Science: Strategy For A Successful Quality By Design Implementation

Duration: 58 minutes

Webinar Recording

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Why watch

Summary

Providing quality to patients, reducing production costs and facilitating new drug process approvals. In this complimentary webinar, our experts discuss Quality by Design, Design of Experiment, Bayesian statistics, Risk, Control Strategy and Comparison. We explain analytical methods developed to support and control various processes and discuss examples from case studies.

Key learnings

Quality by Design strategy to successfully implement a model-based process development and evaluate its relation to risk
Understanding Data Science concepts such as Design Space and Value of Modeling
Connecting the dots between processes, analytical procedures and clinical trial results for a comprehensive development, qualification and process control

speakers

A full day of inspirational speakers

Proud to bring inspirational speakers from across the globe.

Dr. Bruno Boulanger

CSO, Company Co-Founder of Arlenda, PharmaLex

Dr. Bruno Boulanger holds a PhD in Experimental Psychology from the University of Liège (Belgium). He has gathered 20 years of experience in several areas of pharmaceutical research and industry including discovery, toxicology, CMC and early clinical phases. Dr. Boulanger has authored or co-authored more than 100 publications in applied statistics.