How Can We Trust AI in Evidence Synthesis for Clinical Trial Design?
A Guardrail Framework for Accuracy, Comprehensiveness, Efficiency, Consistency, and Traceability
Webinar followed by discussion
Webinar
Dr. Wang presents a practical guardrail framework for trustworthy AI-supported evidence synthesis in clinical trial design.
Roundtable discussion
Join Dr. Wang and the PharmaDS community for an interactive discussion of applications, safeguards, and implementation questions.
Moving beyond answer-level accuracy
AI is transforming evidence synthesis for clinical trial design, but plausible answers do not guarantee complete, reliable, or decision-ready evidence. This seminar will start with real-world trial-design use cases to illustrate both the potential of AI and the risks of missing or misleading evidence. Through these examples, Dr. Wang will introduce a practical guardrail framework covering five dimensions: accuracy, comprehensiveness, efficiency, consistency, and traceability.
The session will explore how to evaluate each dimension, identify critical failure modes, and establish safeguards that combine AI capabilities with systematic validation and expert oversight. The goal is to move beyond answer-level accuracy toward trustworthy, evidence-driven clinical trial design.
Xiaoyan Wang, PhD, FAMIA
Chief Scientific Officer, NousOne
Professor, Tulane University
Dr. Xiaoyan Wang is Chief Scientific Officer at NousOne and a Professor in the Department of Health Policy and Management at Tulane University. Her work focuses on advancing AI innovation across healthcare and life sciences. She has held leadership roles in AI advisory committees and working groups across scientific and professional societies.
Her recent work includes developing frameworks to evaluate large language models for clinical trial intelligence, health economics and outcomes research, economic modeling, and drug commercialization. Previously, she held leadership positions at IMO Health, Melax Tech, and Sema4/GeneDx (Mount Sinai Genomics), and served as a tenure-track faculty member at the University of Connecticut and the Icahn School of Medicine at Mount Sinai. She earned her PhD in Biomedical Informatics from Columbia University School of Medicine.
xwang70@tulane.eduReserve your place
One registration covers both the webinar and the roundtable discussion.