All Outputs (3)

Genome-Scale Metabolic Models and Machine Learning Reveal Genetic Determinants of Antibiotic Resistance in Escherichia coli and Unravel the Underlying Metabolic Adaptation Mechanisms (2021)
Journal Article
Pearcy, N., Hu, Y., Baker, M., Maciel-Guerra, A., Xue, N., Wang, W., …Dottorini, T. (2021). Genome-Scale Metabolic Models and Machine Learning Reveal Genetic Determinants of Antibiotic Resistance in Escherichia coli and Unravel the Underlying Metabolic Adaptation Mechanisms. mSystems, 6(4), Article e00913-20. https://doi.org/10.1128/mSystems.00913-20

Antimicrobial resistance (AMR) is becoming one of the largest threats to public health worldwide, with the opportunistic pathogen Escherichia coli playing a major role in the AMR global health crisis. Unravelling the complex interplay between drug re... Read More about Genome-Scale Metabolic Models and Machine Learning Reveal Genetic Determinants of Antibiotic Resistance in Escherichia coli and Unravel the Underlying Metabolic Adaptation Mechanisms.

From the other perspective: Behavioural factors associated with UK sheep farmers’ attitudes towards antibiotic use and antibiotic resistance (2021)
Journal Article
Doidge, C., Lima, E., Lovatt, F., Hudson, C., & Kaler, J. (2021). From the other perspective: Behavioural factors associated with UK sheep farmers’ attitudes towards antibiotic use and antibiotic resistance. PLoS ONE, 16(5), Article e0251439. https://doi.org/10.1371/journal.pone.0251439

Research suggests that many sheep farmers continue to carry out traditional antibiotic use practices despite new’good practice’ recommendations. The aim of this study was to group farmers depending on their attitudes around antibiotic use and antibio... Read More about From the other perspective: Behavioural factors associated with UK sheep farmers’ attitudes towards antibiotic use and antibiotic resistance.

Lameness Detection in Cows Using Hierarchical Deep Learning and Synchrosqueezed Wavelet Transform (2021)
Journal Article
Jarchi, D., Kaler, J., & Sanei, S. (2021). Lameness Detection in Cows Using Hierarchical Deep Learning and Synchrosqueezed Wavelet Transform. IEEE Sensors Journal, 21(7), 9349-9358. https://doi.org/10.1109/JSEN.2021.3054718

Objectives: Identification of cow lameness is important to farmers to improve and manage cattle health and welfare. No validated tools exist for automatic lameness detection. In this research, we aim to early detect the cow lameness by identifying th... Read More about Lameness Detection in Cows Using Hierarchical Deep Learning and Synchrosqueezed Wavelet Transform.