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Case Studies of Application of AI in Risk-Based Quality Management
Session Chair(s)
Artem Andrianov, PHD, MBA
CEO & Founder, Cyntegrity Germany GmbH, Germany
This session will present multiple case studies illustrating the successful implementation of AI-driven RBQM solutions in real-world clinical trials. Attendees will gain insight into the practical applications of AI technologies.
Learning Objective : Recognize the key benefits and challenges of applying AI technologies in RBQM; Identify insights into real-world examples of AI's impact on clinical trial risk management; Discuss strategies for integrating AI into existing RBQM frameworks to improve decision-making and compliance; Describe how AI enhances collaboration across clinical trial stakeholders and supports more proactive risk-based strategies.
Speaker(s)
Brian Barnes, MA
Director, Risk Management Strategy, Global Clinical Development Operations, BioNTech, United States
Panel Discussion: AI Teammates in Trials - Elevating Risk Management and Human Insight
Bo Maach-Møller, MPHARM
Vice President, Risk Based Quality Management, Novo Nordisk A/S, Denmark
Novo Nordisk’s Path to Integrated Quality and Risk Management with AI-Powered Study Builder
Cheng Su, PHD
Executive Director, Data Sciences and Analytics, Biomarin Pharmaceutical, United States
Unlocking AI Potential In RBQM: Today and Tomorrow
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