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AI in Pharmacovigilance In-house Training

In this exciting new course, gain an introduction into the transformative impact of artificial intelligence on drug safety and monitoring.

★★★★★ "My key objective was to understand for which processes AI can be used in terms of PV. I'm totally sa... more"

Need help?  Customise

Course overview

This course will provide a comprehensive introduction to the transformative impact of artificial intelligence on drug safety and monitoring. This course covers the fundamentals of AI technology, its applications in pharmacovigilance and practical insights into leveraging AI tools for efficient adverse event reporting, signal detection and risk management. Through a mix of theoretical knowledge and practical examples, participants will gain the understanding of available AI solutions in pharmacovigilance practices as well as current regulatory advances.

Browse our extensive selection of Life Sciences training courses for industry-leading insights into a range of topics. These include Medical Devices, IVDs, Biotech and Biopharma, Animal Health and Pharmaceutical training courses.

Benefits of attending

  • Learn how AI can streamline pharmacovigilance processes, reducing manual effort and increasing productivity
  • Discover AI's potential to improve the accuracy of adverse event detection and reporting
  • Understand application of AI in signal detection
  • Gain insights into how AI can help maintain and enhance compliance with regulatory requirements
  • Stay updated with the latest trends and advancements in AI applications within the pharmaceutical industry
  • Discover the ethical considerations and best practices for implementing AI in pharmacovigilance

Who should attend?

  • Pharmacovigilance specialists
  • Drug safety officers
  • Regulatory affairs professionals
  • Clinical research associates
  • Medical affairs personnel
  • Data scientists working in healthcare and pharmaceuticals

This course will cover:

Introduction to the basics of AI

  • Key AI technologies: machine learning, natural language processing and automation
  • Overview of AI and its relevance to pharmacovigilance

AI for adverse event detection and reporting

  • AI methods for identifying adverse events from diverse data sources
  • Case studies on successful AI implementations in adverse event reporting

AI in drug discovery and drug repurposing

  • Utilising AI for signal detection and analysis
  • Case studies on AI and automation in signal detection

Ethical considerations and Regulatory landscape

  • Understanding regulatory guidelines for AI in pharmacovigilance
  • Ensuring AI applications meet regulatory standards
  • Ethical considerations of AI use

Future trends and innovations

  • Emerging AI technologies and their potential impact on pharmacovigilance
  • Preparing for the future: adapting to AI advancements

Reviews of IPI's AI in Pharmacovigilance training course


My key objective was to understand for which processes AI can be used in terms of PV. I'm totally satisfied. Speaker very friendly and clear. Thank you.

Mar 12 2025

Inga Michalczyk
Scientific Manager Pharmacovigilance, SCRATCH Pharmacovigilance GmbH & Co. KG

Mar 12 2025

The webinar provides an overview of the history and future of AI, and how it is used in the domain of pharmacovigilance. It provides you with practical examples, the pros of AI but also the obstacles. The speaker was well prepared and addressed our individual questions we had sent in upfront. She made it an interactive session which I greatly appreciated. Thanks to this webinar I now have a better view of the possibilities on how AI can be/is used for Pharmacovigilance (or Regulatory Affairs) daily tasks.

Els Christiaens
Regulatory Affairs Associate, Zoetis

Germany

  • Fresenius Medical Care Deutschland GmbH
  • Repha GmbH Biologische Arzneimittel
  • SCRATCH Pharmacovigilance GmbH & Co. KG
  • THE FORCE CT GmbH

United States of America

  • Blueprint Medicines
  • Madrigal
  • Phathom Pharmaceuticals
  • Verastem

Belgium

  • Zoetis

India

  • Thermo Fisher Scientific

North Macedonia

  • Alkaloid AD Skopje

United Kingdom

  • Vivian Hamza LTD

Run AI in Pharmacovigilance Live online for your team

Half-day

Typical duration

Pricing from:

  • GBP 350
  • Per attendee, based on 10 attendees
  • Course tailored to your requirements
  • At your choice of location, or online

 

We can customise this course to your requirements and deliver it on an in-house basis for any number of your staff or colleagues.

Contact our in-house training experts Aleksandra Beer and Yesim Nurko to discuss your requirements:

Multiple colleagues? See above for details of our discounts for 2, 3, or 4 delegates. For more, talk to one of our training experts to discuss how to:

Run this course conveniently and cost-effectively in-house for your staff and colleagues

Aleksandra Beer

Aleksandra BEER
Training expert

Yesim Nurko

Yesim NURKO
Training expert

+44 (0)20 7749 4749

inhouse@ipiacademy.com