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.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.
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.
disable-model-invocation
true
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. - Clear next steps, contact info, enrollment status
8. - Every statement cites the tool/database source
9. - Mandatory section showing analysis coverage
10. - Always use English terms in tool calls. Respond in user's language
Actionable output
Source-referenced
Completeness checklist
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.
