NMR-based metabolomics and machine learning show promise for non-invasive disease screening in dogs
By
Riccardo Finotello, Shao Thing Teoh, Hamed Nili, Mohammad Sepehri, Ylenia Cuzzupè, Simone Scoccianti, Fabio Procoli, Daniel C. Anthony, Livia Benigni, Mara Vittoria Alonzo, Islom B. Nazarov
Summary
This study evaluates the use of NMR-based metabolomics combined with machine learning for non-invasive disease screening in dogs, specifically for cancer, cardiovascular disease (CVD), and overall health status. Blood samples were collected from 139 client-owned dogs after exclusions, and classification models were trained and cross-validated. The research highlights the potential of metabolomics as a diagnostic tool in veterinary medicine, drawing on established applications in human medicine.
Source
bskyNMR-based metabolomics and machine learning show promise for non-invasive disease screening in dogsfrontiersin.orgKey quotes
· 3 pulledBlood-based metabolomics is increasingly recognised as a powerful tool for disease detection in human medicine.
However, its application in veterinary science remains limited.
To evaluate the ability of an NMR-based metabolomics platform combined with machine learning to screen dogs for cancer, cardiovascular disease (CVD), and overall health status.
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