This project showed how drug safety and patient sentiment were once explored using classical NLP on real-world user reviews. Today, AI in pharmacovigilance and real-world evidence goes much further—integrating unstructured clinical notes, social media signals, and multi-source health data to detect adverse events earlier, predict treatment outcomes, and support regulators and healthcare providers with real-time insights.

See today’s AI-driven pharmacovigilance tools →