{
  "id": 1423,
  "url": "https://arxiv.org/abs/2606.06207v1",
  "title": "Unsupervised Pattern Analysis in Japanese Veterinary Toxicology: A Regulatory-Compliant Framework for Cross-Species Risk Assessment",
  "summary": "Veterinary pharmacovigilance systems are essential for monitoring adverse drug events (ADEs), yet existing approaches often fail to capture region-specific toxicity patterns shaped by local biological and regulatory contexts. In Japan, these challenges are amplified by species-specific metabolic differences and reporting practices defined by the Ministry of Agriculture, Forestry, and Fisheries (MAFF). Most prior work relies on prediction-oriented models, limiting mechanistic interpretability. Th",
  "authors": "Yukiko Kawakami, Mohammad Shirazi, Ryo Shimizuwa, Saito Shinoda, Alireza Mortazavi, Matsumoto Kawahara",
  "category": "research",
  "topics": "regulation,safety-alignment,healthcare,biotech",
  "orgs": null,
  "regions": "japan",
  "published_at": "2026-06-04T14:14:16.000Z",
  "fetched_at": "2026-07-14T14:15:17.100Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1423",
  "original_url": "https://arxiv.org/abs/2606.06207v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}