Outputs (2)

Predicting lameness in dairy cattle using untargeted liquid chromatography–mass spectrometry-based metabolomics and machine learning (2023)
Journal Article
Randall, L. V., Kim, D., 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. (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.