AI-driven patient-to-trial matching for precision oncology and rare-disease care. Transforms a patient's molecular profile (mutations, biomarkers, expression) and clinical state into ranked clinical-trial recommendations with evidence tiers. Searches ClinicalTrials.gov, the EU CTIS register (European/EEA trials), AND the ISRCTN registry (UK/international) plus cross-references CIViC, OpenTargets, ChEMBL, and FDA labels. Use for matching patients to trials by genotype, biomarker-driven trial selection, trial-eligibility scoring, and finding trials across the US, Europe, and the UK.
AI-driven patient-to-trial matching for precision oncology and rare-disease care. Transforms a patient's molecular profile (mutations, biomarkers, expression) and clinical state into ranked clinical-trial recommendations with evidence tiers. Searches ClinicalTrials.gov, the EU CTIS register (European/EEA trials), AND the ISRCTN registry (UK/international) plus cross-references CIViC, OpenTargets, ChEMBL, and FDA labels. Use for matching patients to trials by genotype, biomarker-driven trial selection, trial-eligibility scoring, and finding trials across the US, Europe, and the UK.
Clinical Trial Matching for Precision Medicine
Transform patient molecular profiles and clinical characteristics into prioritized clinical trial recommendations. Searches ClinicalTrials.gov and cross-references with molecular databases (CIViC, OpenTargets, ChEMBL, FDA) to produce evidence-graded, scored trial matches.
KEY PRINCIPLES:
Report-first approach - Create report file FIRST, then populate progressively
Patient-centric - Every recommendation considers the individual patient's profile
Molecular-first matching - Prioritize trials targeting patient's specific biomarkers
Molecular Matching Priority
Match patients to trials by molecular profile FIRST (specific mutations), then by disease stage, then by prior treatments. A patient with EGFR L858R should match to EGFR-targeted trials regardless of other factors.
4. Evidence-graded - Every recommendation has an evidence tier (T1-T4)
5. Quantitative scoring - Trial Match Score (0-100) for every trial
6. Eligibility-aware - Parse and evaluate inclusion/exclusion criteria
7. Actionable output - Clear next steps, contact info, enrollment status
8. Source-referenced - Every statement cites the tool/database source
9. Completeness checklist - Mandatory section showing analysis coverage
10. - Always use English terms in tool calls. Respond in user's language
English-first queries
LOOK UP, DON'T GUESS
When uncertain about any scientific fact, SEARCH databases first rather than reasoning from memory. A database-verified answer is always more reliable than a guess.
COMPUTE, DON'T DESCRIBE
When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.
When to Use
Apply when user asks:
"What clinical trials are available for my NSCLC with EGFR L858R?"
"Patient has BRAF V600E melanoma, failed ipilimumab - what trials?"
"Find basket trials for NTRK fusion"
"Breast cancer with HER2 amplification, post-CDK4/6 inhibitor trials"
"KRAS G12C colorectal cancer clinical trials"
"Immunotherapy trials for TMB-high solid tumors"
"Clinical trials near Boston for lung cancer"
"What are my options after failing osimertinib for EGFR+ NSCLC?"
NOT for (use other skills instead):
Single variant interpretation without trial focus -> Use tooluniverse-cancer-variant-interpretation
Drug safety profiling -> Use tooluniverse-adverse-event-detection
Target validation -> Use tooluniverse-drug-target-validation
General disease research -> Use tooluniverse-disease-research
EU/EEA trials (EU CTIS register, since 2022) — complements ClinicalTrials.gov
CTIS_get_trial
ct_number (REQ, e.g. 2022-503001-38-01)
Full EU trial detail (Part I/II, member states, results)
ISRCTN_search_trials
query (REQ), limit
ISRCTN registry (UK-based, WHO-primary, international) — a third source
ISRCTN_get_trial
isrctn_id (REQ, e.g. ISRCTN12336055)
Full ISRCTN trial detail + cross-ref ids (DOI/EudraCT/NCT)
Geographic coverage: ClinicalTrials.gov is U.S.-centric but global; many EU/EEA-only trials appear only in the EU CTIS register, and UK/international trials in ISRCTN. For a comprehensive search — or any patient who could enroll outside the U.S. — query search_clinical_trials, CTIS_search_trials, andISRCTN_search_trials, then merge (the three registers list largely disjoint trials; ISRCTN records carry DOI/EudraCT/NCT cross-refs you can use to dedupe against the others). Each register has its own id namespace and detail tool: NCT→get_clinical_trial_*, CT number→CTIS_get_trial, ISRCTN id→ISRCTN_get_trial.
