Medical Language Models for Data Scientists Training Day 1
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Medical Language Models for Data Scientists Training Day 1

Welcome to the first day of our specialized "Medical Language Models" track. This session focuses on the critical pillars of healthcare AI: privacy, oncology research, and rare disease discovery. What we cover in this session: - De-Identify & Obfuscate PHI (Part 1): Fully automating the anonymization of clinical data using LLM-powered pipelines and NLP guardrails. - De-Identify & Obfuscate PHI (Part 2): Achieving HIPAA-compliant, auditable outputs through patient and document-level extraction. - Oncology Research & Treatment: Real-world use cases for Healthcare NLP in oncology research and treatment planning. - Accelerating Rare Disease Diagnosis: Using automated HPO code extraction from clinical notes to support earlier diagnosis.