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Applying Machine Learning and Artificial intelligence for Predicting Product Profile Approvability (PoPPA)
Session Chair(s)
Romi Singh, PhD
Professor of Practice, Regulatory Sciences
Northeastern University, United States
This will be an interactive panel discussion with experts sharing examples how AI/ML can be used to create solutions for better regulatory decision-making and predicting regulatory success. Risks and benefits of using this approach will be discussed.
Panelists will include world-renowned experts on drug development, drug regulations, decision science and data analytics.
Learning Objective : Evaluate how AI/ML can be used to help with regulatory decision making; Analyze scenarios using case studies by world’s leading expert on drug development, cloud computing, and predicting regulatory success; Compare risks and benefits for using this evolving technology.
Speaker(s)
Speaker
Amin Osmani
Cedience Inc., Canada
CEO
Panelist
Subha Madhavan, PhD, FACMI
Pfizer Inc, United States
Vice President and Head of AI/ML, Global Biometrics and Data Management
Panelist
Lily Li, JD
Metaverse Law, United States
Founder and President
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