Sára Ágnes Nagy

The paper uses metagenomic analysis to identify ancient organisms in a corn mummy from ancient Egypt, finding potential historical contaminants alongside modern ones.

This study examines how mycotoxins and glyphosate residues affect the gut microbiome and resistome of European fallow deer, finding changes in bacterial communities and antibiotic resistance genes.

The paper explores the clinical interpretation of genomic analysis results to assess antimicrobial resistance potential in complex microbiological samples.

The paper uses CNNs to estimate bacterial colony growth rates from images, finding that colony density affects growth rates differently in control and rifampicin-treated cultures.

The paper investigates the presence of antimicrobial resistance genes in tick-borne bacterial isolates and finds that most lack these genes, except for Francisella tularensis.

This study analyzes ARG diversity and mobility in kefir and yoghurt bacteria using metagenomic data, finding significant ARG presence associated with mobile genetic elements.

This study evaluates how deep learning models predict dairy cow body condition scores using image annotations, finding stronger agreement with fewer classes and larger error ranges.

The paper identifies antimicrobial resistance genes in silage samples and finds that many are mobile, suggesting silage as a potential source of resistance in the food chain.

The paper analyzes antimicrobial resistance gene diversity in kefir and yoghurt using metagenomic approaches, identifying various ARGs and their potential mobility.