{
  "id": 6416,
  "url": "https://arxiv.org/abs/2604.02678v1",
  "title": "Eligibility-Aware Evidence Synthesis: An Agentic Framework for Clinical Trial Meta-Analysis",
  "summary": "Clinical evidence synthesis requires identifying relevant trials from large registries and aggregating results that account for population differences. While recent LLM-based approaches have automated components of systematic review, they do not support end-to-end evidence synthesis. Moreover, conventional meta-analysis weights studies by statistical precision without considering clinical compatibility reflected in eligibility criteria. We propose EligMeta, an agentic framework that integrates a",
  "authors": "Yao Zhao, Zhiyue Zhang, Yanxun Xu",
  "category": "research",
  "topics": "healthcare,agents-autonomy,biotech",
  "orgs": "meta",
  "regions": null,
  "published_at": "2026-04-03T03:18:50.000Z",
  "fetched_at": "2026-07-14T16:32:28.610Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6416",
  "original_url": "https://arxiv.org/abs/2604.02678v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}