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.
Who Should Attend
This webinar will be relevant to professionals across pharma, biotech, life sciences research organizations and CROs, particularly those involved in clinical data, analytics and digital leadership roles, including:
Biostatisticians, Clinical Data Scientists and Statistical Programmers working in clinical trials
Heads, Directors and VPs of Biometrics, Biostatistics and Statistical Programming
Clinical Data Management and Data Governance leaders
Technology and Innovation leaders driving adoption of modern analytics environments (R, cloud, AI)
What You Will Learn
Attendees will:
Learn how to build a practical, scalable AI governance framework for biometrics that enables innovation
Build scalable governance practices that protect data integrity, regulatory compliance and inspection readiness
Apply risk-based governance and validation to AI-enabled biometrics workflows
Establish effective human oversight, accountability and auditability
Address data privacy, security, reproducibility and regulatory expectations
Support responsible AI adoption across statistical programming, clinical reporting and regulatory submissions
Register free on Xtalks:
https://xtalks.com/webinars/ai-governance-in-clinical-trial-biometrics-a-practical-framework-for-small-mid-size-organization/
