Antimicrobial resistance (AMR)—the ability of microorganisms to adapt and survive under
diverse chemical selection pressures—is influenced by complex interactions between …

Abstract Machine learning (ML) has proven to be a useful technology for data analysis and
modeling in a wide variety of domains, including food science and engineering. The use of …

Food safety continues to threaten public health. Machine learning holds potential in
leveraging large, emerging data sets to improve the safety of the food supply and mitigate …

With advances in artificial intelligence (AI) technologies, the development and
implementation of digital food systems are becoming increasingly possible. There is …

The global food demand is expected to increase in the coming years, along with challenges
around climate change and food security. Concomitantly, food safety risks, particularly those …

ABSTRACT Avian Pathogenic E. coli (APEC) is the causative agent of avian colibacillosis,
resulting in economic losses to the poultry industry through morbidity, mortality and carcass …

Simple Summary Salmonella is one of the most important zoonotic pathogen agents,
causing an estimated 93.8 million cases of gastroenteritis worldwide annually, with 155,000 …

Highlights•Genomic signatures of host-adaptation and virulence of Salmonella are
emerging.•Sequence analyses can aid the prediction of zoonotic risk and source …

Despite its low morbidity, listeriosis has a high mortality rate due to the severity of its clinical
manifestations. The source of human listeriosis is often unclear. In this study, we investigate …

Metagenomics can unveil the genetic content of the total microbiota in different
environments, such as food products and the guts of humans and livestock. It is therefore …