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Case Studies of Application of AI in Risk-Based Quality Management
Session Chair(s)
Artem Andrianov, PhD, MBA
CEO
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)
Panel Discussion: AI Teammates in Trials - Elevating Risk Management and Human Insight
Brian Barnes, MA
BioNTech, United States
Director, Risk Management Strategy, Global Clinical Development Operations
Novo Nordisk’s Path to Integrated Quality and Risk Management with AI-Powered Study Builder
Bo Maach-Møller, MPharm
Novo Nordisk A/S, Denmark
Vice President, Risk Based Quality Management
Unlocking AI Potential In RBQM: Today and Tomorrow
Cheng Su, PhD
Biomarin Pharmaceutical, United States
Executive Director, Data Sciences and Analytics
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