faers: A High-Fidelity Framework and R/Bioconductor Package for Precision Adverse Event Surveillance
The paper introduces **faers**, an open-source R/Bioconductor package that provides a standardized, high-fidelity framework for transforming raw FAERS data into analysis-ready formats through regulatory-compliant deduplication and automated terminology mapping, thereby enabling scalable, reproducible, and precise pharmacovigilance signal detection.