What problem does it solve?
Finding the right clinical trial for a patient with a specific cancer type and molecular profile requires manually searching registries, parsing eligibility criteria, and cross-referencing drug-biomarker evidence across many databases. This Skill automates that workflow, turning a patient profile into a scored, ranked list of trial recommendations.
Core Features & Use Cases
- Molecular-first trial matching: Standardizes disease names to EFO ontology IDs and genes to Ensembl/Entrez IDs, then searches ClinicalTrials.gov, the EU CTIS register, and the ISRCTN registry by disease, biomarker, and intervention.
- Quantitative scoring and evidence grading: Computes a 0-100 Trial Match Score (molecular match, eligibility, evidence strength, phase, geography) and assigns evidence tiers T1-T4 based on FDA approvals, CIViC, ChEMBL, OpenTargets, and PubMed data.
- Structured report generation: Produces a markdown report with an executive summary, ranked trials, drug-biomarker alignment, alternative options (basket trials, expanded access), and a completeness checklist.
- Use Case: Given "Stage IV NSCLC with EGFR L858R, failed platinum chemotherapy," the skill resolves the biomarker, searches three trial registries, parses eligibility text for EGFR requirements, and returns top trials such as EGFR TKI studies with scores and site locations.
Quick Start
Ask the agent to find clinical trials for a patient by describing the disease, biomarker, stage, prior treatments, and optionally a preferred location, for example: find clinical trials for a patient with BRAF V600E melanoma who failed ipilimumab.