Webinaire
Harnessing AI to revolutionize pharmacovigilance signal management
Join our experts, Stephen Sun, VP of Pharmacovigilance, and Lin Li, Head of Clinical Statistics and Computational Biology, on January 28, 2026, as they discuss how AI and advanced analytics are transforming pharmacovigilance (PV) signal management by overcoming growing signal management challenges. Our pharmacovigilance and statistics experts will examine how new technologies can help identify meaningful signals amidst increasing volumes and noise, address causality uncertainties, and reduce manual, error-prone processes – freeing safety teams to focus on critical tasks.
Key learnings
- Enhanced signal detection accuracy using Bayesian modeling, machine learning, and natural language processing (NLP).
- Reduced manual workloads in signal validation and evaluation, saving time and costs.
- Improved compliance, audit readiness, and decision-making through automation and data harmonization, while following “human-in-the-loop” best practices for oversight.
- Accelerated identification of causal safety signals, enabling faster and more confident regulatory responses.
