Language Technology for Pharmacovigilance
RISE explores automation of drug safety operations using natural language processing in collaboration with the Swedish Medical Products Agency, studying explainability and efficient on-premise modeling.
We explore automation of drug safety operations involving unstructured data using natural language processing in collaboration with the Swedish Medical Products Agency (Läkemedelsverket).
Research Focus
We study aspects of:
- Explainability
- Efficient modeling and training in on-premise settings with sensitive data
Privacy Considerations
Working with sensitive drug safety data requires careful attention to privacy and security. On-premise deployment ensures that sensitive information remains within controlled environments.
Impact
This research enables more efficient processing of drug safety reports while maintaining the transparency and accountability required in regulatory contexts.
