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Drug Safety Agents Using Graphs and Ontologies

2026-02-05 health informatics Title + abstract only
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In pharmacovigilance, analyzing drug safety cases is often time consuming due to the abundance of laboratory data, complex medical histories, and intricate temporal relationships. Agentic AI systems can significantly reduce case processing time by assisting medical reviewers in surfacing clinically relevant evidence. However, previous studies have highlighted that large language models alone lack causal reasoning and evidence-based interpretability. To address these limitations, we present a kn...

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