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Hilton Baltimore Inner Harbor

2025年1月27日 (月) 午前 7:30 - 2025年1月29日 (水) 午後 12:45

401 W Pratt Street, Baltimore, MD 21201, USA

Global Pharmacovigilance and Risk Management Strategies Conference

Stay current with the latest safety regulations from global health authorities and regulatory experts!

Session 8: Harnessing AI in Pharmacovigilance: Insights, Applications, and Impact

Session Chair(s)

Mariette  Boerstoel-Streefland, MD, MBA, MS

Mariette Boerstoel-Streefland, MD, MBA, MS

Senior Vice President, Patient Safety Officer

Bristol Myers Squibb, United States

After a more general overview of applicability of AI in PV, this session will share insights into what has emerged from the ongoing efforts in CIOMS XIV on the topic. After this, the audience will get deeper insights into two cases of successful leveraging of AI technology. The first is focused on increasing efficiency with literature review and case extraction, the second is on improved efficiencies in signal evaluation. This session is intended to increase understanding and stimulate thinking on where AI can help further our field of PV.

Learning Objective :
  • Discuss general principles of application of AI in PV
  • Recognize advantages and caveats of AI in PV
  • Identify what are and what aren’t good use cases for AI application
  • Examine how to increase ability to judge what AI application does and what doesn’t make sense for their specific organization

Speaker(s)

Taxiarchis  Botsis, PhD, MSc

CIOMS Working Group XIV – Artificial Intelligence in Pharmacovigilance

Taxiarchis Botsis, PhD, MSc

Johns Hopkins University, United States

Associate Professor of Oncology

Uwe Peter Trinks, PhD, MS

Harnessing Generative AI for Enhanced Literature Case Extractions in Pharmacovigilance

Uwe Peter Trinks, PhD, MS

IQVIA, United States

Global Practice Lead, IQVIA

Jeffrey  Warner, PhD, MS

Leveraging Intelligent Automation Improved Efficiency in Pharmacovigilance Signal Evaluation

Jeffrey Warner, PhD, MS

Eli Lilly and Company, United States

Post-Doctoral Scientist

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