Validating AI for Trustworthy Evidence Generation for Regulatory or HTA Acceptance
- Benchmark how pharma are validating AI algorithms for structuring unstructured data (clinician notes, oncology staging, biomarkers) while ensuring reproducibility and regulatory alignment
- Learn practical strategies for human-in-the-loop review to balance automation with trust, avoiding “hallucinations” and privacy breaches in sensitive patient datasets
- See early examples of AI use cases accepted by regulators or HTA bodies and what lessons they hold for wider adoption