
AI-Powered Clinical Trial Matching
Empowering Patients to Find Relevant Trials Using Natural Language Processing
This research develops a Natural Language Inference (NLI) system that helps patients determine their eligibility for clinical trials without medical expertise.
- Bridges the gap between patient-friendly language and technical medical criteria
- Enables patient-initiated trial discovery, improving recruitment efficiency
- Addresses a critical challenge in clinical research: matching eligible participants to trials
- Demonstrates how NLP can democratize access to clinical research opportunities
This innovation matters because it could significantly increase clinical trial participation rates by reducing barriers to entry, accelerating medical research while giving patients more agency in their healthcare journey.