AOP-Wiki EMOD 3.0 introduces data model expansions and a content evaluation framework to enhance integration of Adverse Outcome Pathways with New Approach Methodologies using agentic AI.
The FAIR AOP roadmap for 2025: Advancing findability, accessibility, interoperability, and re-usability of adverse outcome pathways
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Self-reported LLM usage frequency associates more consistently with pre-instruction AI perceptions than prior education or self-rated familiarity in graduate trainees.
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AOP-Wiki EMOD 3.0: Data Model Expansions and Content Evaluation Framework for Using Agentic AI to Improve Integration between AOPs and New Approach Methodologies (NAMs)
AOP-Wiki EMOD 3.0 introduces data model expansions and a content evaluation framework to enhance integration of Adverse Outcome Pathways with New Approach Methodologies using agentic AI.