Run the locally checked-out TrialGPT pipeline to retrieve, rank, and explain candidate trials for a patient before deeper eligibility review.
- Patient summary (structured JSON or free text) with condition keywords.
- Optional filters: geography, phase, intervention, biomarker.
- Up-to-date ClinicalTrials.gov dump or API access.
Outputs
- Ranked trial table with NCT ID, title, score, and short justification.
- Parsed inclusion/exclusion text ready for downstream eligibility agents.
- Missing data checklist (e.g., "ECOG not provided").
Workflow
- Setup:
cd repo && pip install -r requirements.txt (or reuse env).
- Trial retrieval: Run TrialGPT retriever to pull candidate trials for the indication.
- Criteria parsing: Convert eligibility blocks to structured criteria JSON.
- Patient profiling: Summarize patient facts (labs, prior therapies, biomarkers).