AINeutralarXiv – CS AI · Jun 55/10
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Unsupervised Pattern Analysis in Japanese Veterinary Toxicology: A Regulatory-Compliant Framework for Cross-Species Risk Assessment
Japanese researchers developed an unsupervised machine learning framework for analyzing adverse drug events in veterinary medicine, identifying species-specific toxicity patterns from 4,120 ADE reports. The regulatory-compliant approach achieved 83% alignment with pharmacological classes and discovered distinct toxicity profiles across companion animals, ruminants, and sheep, offering improved interpretability for drug safety assessment.