PROJECTS
Clinical Trial Enrichment: Intelligent Agent Systems for Patient–Trial Matching
This project develops intelligent agent systems that match patients to clinical trials by integrating EHR data with trial eligibility criteria. Large language models and knowledge graphs interpret complex trial requirements, align them with structured and unstructured patient records, and resolve gaps or ambiguities. The framework improves efficiency and precision in trial recruitment, supporting faster, fairer, and more reliable enrollment.
Project information
- Category: Future Healthcare and Large Language Models
- Contact Person: Amir M. Rahmani
