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tooluniverse-clinical-trial-matching

Maintainer FreedomIntelligence · Last updated March 31, 2026

AI-driven patient-to-trial matching for precision medicine and oncology. Given a patient profile (disease, molecular alterations, stage, prior treatments), discovers and ranks clinical trials from ClinicalTrials.gov using multi-dimensional matching across molecular eligibility, clinical criteria, drug-biomarker alignment, evidence strength, and geographic feasibility. Produces a quantitative Trial Match Score (0-100….

OpenClawNanoClawAnalysisReproductiontooluniverse-clinical-trial-matching🏥 medical & clinicalmedical toolsai

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-clinical-trial-matching

Maintainer
FreedomIntelligence
License
MIT
Last updated
March 31, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • 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: 1. Report-first approach - Create report file FIRST, then populate progressively 2. Patient-centric - Every recommendation considers the individual patient's profile 3. Molecular-first matching - Prioritize trials targeting patient's specific biomarkers 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. English-first queries - Always use English terms in tool calls. Respond in user's language.
  • Patient: [Disease type] with [biomarker(s)] Date: [Current date] Trials Analyzed: [N total] | Top Matches: [N with score >= 60].

Source Doc

Excerpt From SKILL.md

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

Required Input

  • Disease/cancer type: Free-text disease name (e.g., "non-small cell lung cancer", "melanoma")

Strongly Recommended

  • Molecular alterations: One or more biomarkers (e.g., "EGFR L858R", "KRAS G12C", "PD-L1 50%", "TMB-high")
  • Stage/grade: Disease stage (e.g., "Stage IV", "metastatic", "locally advanced")
  • Prior treatments: Previous therapies and outcomes (e.g., "failed platinum chemotherapy", "progressed on osimertinib")

Use cases

  • Use when oncologists, molecular tumor boards, or patients ask about clinical trial options for specific cancer types, biomarker profiles, or post-progression scenarios.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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