9th ISoP Seminar –
Intelligent Automation in Pharmacovigilance

4-5 Dec 2025 | Boston- Cambridge, MA 02142 | Hybrid event

Programme and Overview

This two-day Intelligent Automation (IA) Seminar is focused on the pragmatic and ethical integration of artificial intelligence (AI) and automation into pharmacovigilance systems. Under the theme “From Innovation to Impact: Building Trustworthy AI in Pharmacovigilance,” the seminar aims to explore how emerging technologies can be responsibly leveraged to enhance drug safety, signal detection, and real-world data analysis.

Why attend:

• Gain insights into practical applications of AI tools in everyday PV workflows.

• Discuss pathways to build trust in AI solutions, ensuring they are secure, ethical, and aligned with public health goals.

• Dive into governance and ethical considerations surrounding AI deployment, including regulatory expectations.

• Engage on how to navigate innovations like generative AI, ensuring they serve as enablers—not replacements—for expert decision-making.

Who should attend: Pharmacovigilance professionals, AI technologists, regulatory authorities, researchers, and healthcare leaders who are shaping the future of safety science.

A brief overview of the sessions running across the two-day event:

Speakers Abstracts Presentations (Session 3)

• #01 Automated Post-Marketing Exposure Calculation: A Web-Based Tool for Enhanced Pharmacovigilance Efficiency – Shikha Goel, Northeastern University, USA
• #02 Development of a new Drug-Event Modeling Tool Using Dynamic Probabilistic Distribution for Enhanced Safety Signal Detection – Bassem Toeama, MD Pharma Consulting Group, Canada
• #03 Lifecycle Validation and Audit Controls for AI/ML Systems in Pharmacovigilance – Gaurav Goel, Vitrana, USA
• #05 Integrating Natural Language Processing to Facilitate Pharmacovigilance Workflow: A Use-Case Applied for Structuring Data from Electronic Medical Records in Quebec – Jacinthe Leclerc, University of Laval, Canada
• #06 AI-Driven Multi-Source Analytics in Pharmacovigilance: From Reactive Detection to Predictive Safety Intelligence – Sumatha Kondabolu, Qualio, Canada
• #07 Toward machine-assisted pharmacovigilance: using contrastive learning to generate vector representations of adverse events from spontaneous reports – Mátyás Pétervári, Semmelweis University, Hungary

Meeting Venue

The International Society of Pharmacovigilance would like to extend its gratitude to Takeda for hosting the meeting at its premises.