Using AI to Derive Oncology Treatment Patterns From Real-World Data

• Explore how AI can be used to derive lines of therapy and treatment patterns from claims data where detailed oncology EMR data is unavailable or difficult to access
• Share practical learnings from applying AI across different cancer types and patient populations, including how approaches need to adapt to variations in treatment pathways and data availability
• Examine how AI-derived insights can expand the use of real-world data for oncology research while addressing challenges around validation, data quality and methodological robustness

Speakers:

Emmi Tikkanen

Oncology RWE Scientist, Global Medical Evidence Generation

Pfizer