In this free webinar, learn how small and mid-size organizations can build practical AI governance for clinical trial biometrics. The featured speakers will discuss risk-based validation, human oversight, accountability, auditability, data privacy and regulatory expectations across AI-enabled workflows. Attendees will also explore how these principles can support statistical programming, clinical reporting and regulatory submissions while maintaining data integrity and inspection readiness.
TORONTO, Nov. 4, 2026 /PRNewswire/ -- Artificial Intelligence (AI) is rapidly transforming biometrics functions across the clinical trial lifecycle, from protocol design and statistical analysis planning to programming, data standardization and regulatory submissions. While the potential benefits of AI are substantial, organizations must also address critical challenges related to governance, validation, accountability, data privacy, reproducibility and regulatory compliance. This webinar explores how organizations can establish practical AI governance approaches that support responsible adoption while maintaining compliance and data integrity.
Large pharmaceutical companies are investing heavily in enterprise-wide AI governance programs. However, small and mid-size pharmaceutical companies often face unique challenges, including limited resources, lean biometrics teams and evolving technology infrastructures. These organizations need practical and scalable approaches that support AI adoption and enable innovation while protecting data integrity, regulatory compliance and inspection readiness.
This webinar will explore key considerations for implementing AI governance within biometrics, including the use of AI in clinical statistical programming, clinical reporting and regulatory submissions. The featured speakers will discuss risk assessment and validation approaches, human oversight and accountability, auditability, data privacy and security and emerging regulatory expectations. Practical use cases will also illustrate how these principles can be applied across AI-enabled biometrics workflows.
Attendees will gain insight into building a governance framework that supports responsible AI adoption while helping mitigate operational and compliance risks and create efficient, scalable and inspection-ready biometrics processes.
Register for this webinar to learn how effective AI governance can support responsible and compliant AI adoption across clinical biometrics workflows.
Join Tai Xie, PhD (Moderator), CEO, CIMS Global; Peng Zhang, PhD (Presenter), Associate Director of Innovative Data Sciences, CIMS Global; Christine Matakovich (Presenter), Senior Director of Products, CIMS Global; Benjamin C. Eloff, PhD (Panelist), Vice President, Healthcare Innovation Catalysts; Nechama Katan (Panelist), Founder, Wicked Problem Wizards; and Dr. Jimeng Sun (Panelist), Professor of Computer Science, University of Illinois Urbana-Champaign, for the live webinar on Thursday, November 19, 2026, at 1pm EST (12pm CST / 10am PST).
For more information, or to register for this event, visit AI Governance in Clinical Trial Biometrics: A Practical Framework for Small-Mid Size Organizations.
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