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 …

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 …

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 …

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 …

Co-digestion of lignocellulosic biomass and animal manure is a common approach to
increase the efficiency of methane production, but the niche differentiation and microbial …

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 …

While MALDI-TOF mass spectrometry (MS) is widely considered as the reference method for
the rapid and inexpensive identification of microorganisms in routine laboratories, less …

Microorganisms are an important component of the ecosystem and have an enormous
impact on human lives. Moreover, microorganisms are considered to have desirable effects …