Food Safety

Food safety research focuses on identifying and mitigating hazards throughout the food chain, a task increasingly complicated by the sheer volume of scientific literature. Current research leverages large language models, such as BERT and GPT, to automate the extraction of chemical hazards from publications and analyze legal compliance requirements, significantly improving efficiency and accuracy compared to manual methods. These advancements enable faster identification of emerging risks and more effective regulatory compliance, ultimately enhancing food safety for consumers and streamlining the regulatory process.