Are you a healthcare professional, clinical researcher or data scientist interested in drug safety research? If so, you know how vital understanding a drug’s adverse effects is to maximize its effect while minimizing its risks. This webinar will show how the QIAGEN Biomedical KB-AI knowledge graph can be used to explore scientific and pharmacovigilance data. Focusing on immune checkpoint inhibitors (ICIs), we will also demonstrate how Neo4j and Python can be combined to query, visualize and analyze this data effectively.

We’ll cover the following:

• Drug safety profiling in Biomedical KB-AI
• Pharmacovigilance case study of ICIs: Pembrolizumab
• Comparative analysis of ICIs for comprehensive safety monitoring.