arXiv Machine Learning June 5, 2026 By Yukiko Kawakami, Mohammad Shirazi, Ryo Shimizuwa, Saito Shinoda, Alireza Mortazavi, Matsumoto Kawahara

Unsupervised Pattern Analysis in Japanese Veterinary Toxicology: A Regulatory-Compliant Framework for Cross-Species Risk Assessment

Read the original on arXiv Machine Learning →

arXiv:2606. 06207v1 Announce Type: cross Abstract: 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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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Pharmacogenomic Knowledge Graph Augmentation for Graph Neural Network-Based Drug-Drug Interaction Prediction

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