Strategies for grouping chemicals

identify relevant data types and sources (including traditional toxicological data and emerging technologies) as well as practices and approaches (such as AI-driven data extraction), and define key aspects for efficient data collection and appraisal. The expected outcome is a compendium of existing

data types, sources and approaches, accompanied by recommendations for an operational strategy, ideally utilizing automated solutions to enable consistent and effective chemical grouping across EFSA’s domains.