AI in Pharmacovigilance
- Pharmacovigilance and Regulatory Science
- 3 (Registered)
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Full Course Overview
AI in Pharmacovigilance provides a comprehensive introduction to the impact of artificial intelligence on drug safety and monitoring. The course covers fundamental AI technologies and their application within pharmacovigilance processes, offering practical insights into the use of AI tools for efficient adverse event reporting, signal detection, and risk management.
Participants will gain a working understanding of current AI solutions, real-world case studies, and the evolving regulatory landscape governing AI in the life sciences. The course also addresses future trends and ethical considerations relevant to integrating AI into pharmacovigilance systems.
Benefits of Attending
- Learn how AI can streamline pharmacovigilance operations, reducing manual workload and increasing productivity
- Understand AI’s potential to improve accuracy in adverse event detection and reporting
- Explore AI-driven signal detection methods and risk management strategies
- Gain clarity on regulatory requirements and compliance related to AI technologies
- Stay informed about the latest advancements and trends in AI for pharmaceutical safety
- Examine ethical considerations in the application of AI within pharmacovigilance
Who Should Attend
- Pharmacovigilance Specialists
- Drug Safety Officers
- Regulatory Affairs Professionals
- Clinical Research Associates
- Medical Affairs Personnel
- Data Scientists in healthcare or pharmaceutical sectors
Curriculum
- 8 Sections
- 18 Lessons
- 10 Weeks
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- 1. Introduction to AI in Pharmacovigilance3
- 2. AI for Adverse Event Detection and Reporting2
- 3. AI in Drug Discovery and Drug Repurposing2
- 4. Signal Detection and Risk Management3
- Regulatory Landscape and Compliance3
- 6. Future Outlook and Innovation2
- 7. Q&A and Wrap-Up2
- Optional Downloadable Document1
