All Outputs (3)

Identification of Predictive Biomarkers of Lameness in Transition Dairy Cows (2024)
Journal Article
Cardoso, A. S., Whitby, A., Green, M. J., Kim, D.-H., & Randall, L. V. (2024). Identification of Predictive Biomarkers of Lameness in Transition Dairy Cows. Animals, 14(14), Article 2030. https://doi.org/10.3390/ani14142030

The aim of this study was to identify with a high level of confidence metabolites previously identified as predictors of lameness and understand their biological relevance by carrying out pathway analyses. For the dairy cattle sector, lameness is a m... Read More about Identification of Predictive Biomarkers of Lameness in Transition Dairy Cows.

Predicting lameness in dairy cattle using untargeted liquid chromatography–mass spectrometry-based metabolomics and machine learning (2023)
Journal Article
Randall, L. V., Kim, D.-H., Abdelrazig, S. M., Bollard, N. J., Hemingway-Arnold, H., Hyde, R. M., …Green, M. J. (2023). Predicting lameness in dairy cattle using untargeted liquid chromatography–mass spectrometry-based metabolomics and machine learning. Journal of Dairy Science, 106(10), 7033-7042. https://doi.org/10.3168/jds.2022-23118

Lameness in dairy cattle is a highly prevalent condition that impacts on the health and welfare of dairy cows. Prompt detection and implementation of effective treatment is important for managing lameness. However, major limitations are associated wi... Read More about Predicting lameness in dairy cattle using untargeted liquid chromatography–mass spectrometry-based metabolomics and machine learning.

Metabolic alterations in dairy cattle with lameness revealed by untargeted metabolomics of dried milk spots using direct infusion-tandem mass spectrometry and the triangulation of multiple machine learning models (2022)
Journal Article
He, W., Cardoso, A. S., Hyde, R. M., Green, M. J., Scurr, D. J., Griffiths, R., …Kim, D.-H. (2022). Metabolic alterations in dairy cattle with lameness revealed by untargeted metabolomics of dried milk spots using direct infusion-tandem mass spectrometry and the triangulation of multiple machine learning models. Analyst, 147(23), 5537-5545. https://doi.org/10.1039/d2an01520j

Lameness is a major challenge in the dairy cattle industry in terms of animal welfare and economic implications. Better understanding of metabolic alteration associated with lameness could lead to early diagnosis and effective treatment{,} there-fore... Read More about Metabolic alterations in dairy cattle with lameness revealed by untargeted metabolomics of dried milk spots using direct infusion-tandem mass spectrometry and the triangulation of multiple machine learning models.