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trialgpt-matching
维护者 FreedomIntelligence · 最近更新 2026年4月1日
TrialGPT patient-to-trial matching with eligibility assessment from clinical notes.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/trialgpt-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
- 运行 locally checked-out TrialGPT pipeline to retrieve，rank，、 explain candidate trials ，用于 patient before deeper eligibility review。
- Patient summary (structured JSON 或 free text) ，支持 condition keywords。
- Optional filters：geography，phase，intervention，biomarker。
- Up-to-date ClinicalTrials.gov dump 或 API access。
- Patient summary (structured JSON 或 free text) ，支持 condition keywords. Optional filters：geography，phase，intervention，biomarker. Up-to-date ClinicalTrials.gov dump 或 API access。
原始文档
SKILL.md 摘录
Outputs
- Ranked trial table with NCT ID, title, score, and short justification.
- Parsed inclusion/exclusion text ready for downstream eligibility agents.
- Missing data checklist (e.g., "ECOG not provided").
Workflow
- Setup:
cd repo && pip install -r requirements.txt(or reuse env). - Trial retrieval: Run TrialGPT retriever to pull candidate trials for the indication.
- Criteria parsing: Convert eligibility blocks to structured criteria JSON.
- Patient profiling: Summarize patient facts (labs, prior therapies, biomarkers).
- Ranking: Execute TrialGPT ranking script to score each trial and emit explanations.
- Handoff: Export ranked list + structured criteria for
trial-eligibility-agent.
Guardrails
- Refresh ClinicalTrials.gov metadata regularly to avoid stale trials.
- Label scores as AI-generated suggestions pending clinician validation.
- Retain prompt/config metadata for audit trails.
适用场景
- Use trialgpt-matching ，用于 clinical，translational，或 medical research tasks。
- Apply trialgpt-matching when healthcare-specific guidance is required。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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