Opportunities exist for the use of data science in preventing and mitigating foodborne disease outbreaks, often using publicly accessible data. This article examines machine learning/data science approaches, including whole-genome sequencing, to enhance food safety.

A collaboration that began with the Beef Industry Food Safety Council to address issues related to Shiga toxin-producing Escherichia coli (STEC) now focuses on reducing illness attributed to Salmonella in beef by applying a meaningful risk analysis through shared industry data and best practices.