Harnessing AI to transform HEOR and real‑world evidence generation in Rare Diseases

This webinar examines how feature engineering, causal machine learning, natural language processing, and hybrid modeling can be applied across HEOR and RWE workstreams in Rare Disease research. 

The panel will also explore the evolving regulatory and health technology assessment (HTA) landscape regarding AI-enabled RWE.

Learning objectives:

• Emerging regulatory and HTA expectations for AI-based HEOR and RWE analyses
• Practical applications of AI across HEOR and RWE workstreams for rare diseases
• Considerations for ensuring transparency, reproducibility, and trustworthiness in AI‑generated insights
• Strategic considerations for organizations seeking to responsibly integrate AI into evidence and access functions

Featuring: