Artificial Intelligence in Pharmacovigilance - Exploring Today, Shaping Tomorrow

Die Themen

- Introduction to AI and its applications in pharmacovigilance - Legal and regulatory frameworks - AI to support rule-based (deterministic) and non-deterministic PV tasks - Workshops: GPT prompting and Large Language Models - Opportunities, challenges, and limitations of AI in PV today

Ziele

Artificial intelligence (AI) is driving innovation across industries, offering new opportunities to enhance efficiency in pharmacovigilance (PV) beyond traditional rule-based (deterministic) systems.

- Currently, AI use in PV is still emerging. While promising, many applications face regulatory and validation hurdles. This seminar provides a clear and realistic perspective on what is achievable today, offering insights into current projects from Big Pharma and highlighting both opportunities and limitations. Participants will gain a solid understanding of essential AI concepts, regulatory frameworks, and practical use cases.

- Through interactive discussions and hands-on workshops, including LLM-assisted case processing and GPT prompting, participants will learn how to effectively feed AI models with data and interact with generative AI tools. The focus is on identifying meaningful use cases and applying AI to streamline daily workflows.

Wer sollte teilnehmen?

This course will be conducted in English.

- This course is tailored for professionals in the pharmaceutical industry who are involved in, or interested in, the application of AI technologies in pharmacovigilance.

- No advanced AI expertise is required. The course, including the pre-reading document, also covers fundamental concepts.