What problem does it solve? Finding relevant clinical trials for a specific cancer patient requires manually searching ClinicalTrials.gov, interpreting eligibility criteria, and cross-referencing biomarker data across multiple databases. This Skill automates that process, turning a patient profile (disease, mutations, stage, prior treatments) into a ranked, evidence-graded list of trial recommendations. ## Core Features & Use Cases - Patient Profile Standardization: Resolves diseases to EFO ontology IDs and genes to Ensembl/Entrez identifiers, and classifies biomarkers as FDA-approved or investigational. - Multi-Dimensional Trial Scoring: Ranks trials with a 0-100 Trial Match Score covering molecular match, clinical eligibility, evidence strength, phase, and geographic feasibility. - Drug-Biomarker Alignment: Cross-references trial interventions against OpenTargets, ChEMBL, FDA, CIViC, and PubMed to verify that trial drugs target the patient's biomarkers. - Use Case: An oncologist asks for trial options for a Stage IV NSCLC patient with an EGFR L858R mutation who failed platinum chemotherapy; the Skill produces a markdown report with the top scored trials, eligibility analysis, evidence tiers, and alternative options like basket trials and expanded access. ## Quick Start Ask the assistant to find clinical trials for a patient by describing the cancer type, specific biomarkers, stage, prior treatments, and optionally a preferred location.
