Abstract Machine learning is increasingly important in microbiology where it is used for tasks
such as predicting antibiotic resistance and associating human microbiome features with …

Microbiologically influenced corrosion (MIC) is a phenomenon of increasing concern that
affects various materials and sectors of society. MIC describes the effects, often negative …

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

Artificial intelligence (AI), the technique of extracting information from complex database
using sophisticated computer algorithms, has incorporated itself in medical field. AI …

This work demonstrates and guides how to use a range of state-of-the-art artificial neural-
networks to analyse bacterial microscopy images using the recently developed …

Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …

Surface-enhanced Raman scattering, has extensive applications in the fields of medicine
and food due to its high-sensitivity, speed, non-destructive nature, and cost-effectiveness …

Climate change and the induced environmental disturbances is one of the major threats that
have a strong impact on bacterial communities in the Antarctic environment. To cope with …

Soil microbial growth rate and microbial carbon use efficiency (CUE) are critical parameters
of soil microbial carbon metabolism, moderating soil organic carbon (SOC) dynamics …

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 …