Outputs (3)

Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis (2021)
Journal Article
Esener, N., Guerra, A. M., Giebel, K., Lea, D., Green, M. J., Bradley, A. J., & Dottorini, T. (2021). Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis. PLoS Computational Biology, 17(6), Article e1009108. https://doi.org/10.1371/journal.pcbi.1009108

Staphylococcus aureus is a serious human and animal pathogen threat exhibiting extraordinary capacity for acquiring new antibiotic resistance traits in the pathogen population worldwide. The development of fast, affordable and effective diagnostic... Read More about Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis.

Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test (2021)
Journal Article
Swinkels, J., Leach, K., Breen, J., Payne, B., White, V., Green, M., & Bradley, A. (2021). Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test. Journal of Dairy Science, Article 19258. https://doi.org/10.3168/jds.2020-19258

Selective use of antibiotic dry cow treatment can be implemented at the cow or quarter level, with the latter having the potential to further reduce antibiotic use. Our objective was to compare these 2 approaches in 6 herds in the United Kingdom in w... Read More about Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test.

Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning (2021)
Journal Article
Maciel-Guerra, A., Esener, N., Giebel, K., Lea, D., Green, M. J., Bradley, A. J., & Dottorini, T. (2021). Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning. Scientific Reports, 11(1), Article 7736. https://doi.org/10.1038/s41598-021-87300-0

Streptococcus uberis is one of the leading pathogens causing mastitis worldwide. Identification of S. uberis strains that fail to respond to treatment with antibiotics is essential for better decision making and treatment selection. We demonstrate th... Read More about Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning.