Development of an LLM-augmented bioinformatics workflow for transcriptomics-based chemical grouping in support of EFSA risk assessment

lic repositories. The system will harmonise key metadata, generate standardised transcriptomic signatures, cluster chemicals based on inferred mode of action, and compare the resulting groups with existing EFSA Cumulative Assessment Groups (CAGs) to support regulatory risk assessment. All code devel

oped will be open source.