Title: Data Science: Strategy For A Successful Quality By Design Implementation
Duration: 58 minutes - Available On Demand
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.
- 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
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.