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This short course will explore machine learning (ML) and its application within the Regulatory/ Pharmacovigilance (PV) landscape. We will provide a high-level introduction to ML, including tools and project tips. The core of the course will dive deeper into applications within PV, including examples from our work on ICSR identification. We will also discuss what the future of ML in PV could look like, followed by time for questions and open discussion.

Since machine learning requires resources from across the organization, this course is designed for anyone interested in sponsoring or joining a machine learning project within their organization.

An additional registration fee is required for all preconference short courses.


Who should attend?

This short course is designed for members of Pharma, Academia, Regulators, and Medicine interested in Machine Learning in PV

Learning objectives

At the conclusion of this course, participants should be able to:
  • Identify advances that make ML practical
  • Describe how ML can be applied to the regulatory and PV landscape
  • Develop potential future use cases for ML in PV

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