bio-imaging-mass-cytometry-spatial-analysis：Spatial analysis of cell neighborhoods 、 interactions in IMC data。 Covers ne…
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tooluniverse-clinical-trial-matching
维护者 FreedomIntelligence · 最近更新 2026年4月1日
tooluniverse-clinical-trial-matching：AI-driven patient-to-trial matching ，用于 precision medicine 、 oncology。 Given patient profile (disease，molecular alterations，stage，prior treatments)，discovers 、 ranks clinical trials ，面向 ClinicalTrials.gov ，使用 multi-dimensional matching across molecular eligibility，clinical criteria，drug-biomarker alignment，evidence strength，、 geographic feasibility。
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-clinical-trial-matching
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- 转换 patient molecular profiles 、 clinical characteristics into prioritized clinical trial recommendations. Searches ClinicalTrials.gov 、 cross-references ，支持 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 individual patient's profile 3. Molecular-first matching - Prioritize trials targeting patient's specific biomarkers 4. Evidence-graded - Every recommendation has evidence tier (T1-T4) 5. Quantitative scoring - Trial Match Score (0-100) ，用于 every trial 6. Eligibility-aware - Parse 、 evaluate inclusion/exclusion criteria 7. Actionable output - Clear next steps，contact info，enrollment status 8. Source-referenced - Every statement cites 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] ，支持 [biomarker(s)] Date：[Current date] Trials Analyzed：[N total] | Top Matches：[N ，支持 score >= 60]。
原始文档
SKILL.md 摘录
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")
适用场景
- 适合在oncologists，molecular tumor boards，或 patients ask about clinical trial options ，用于 specific cancer types，biomarker profiles，或 post-progression scenarios时使用。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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