Meta-Analysis of COVID-19 Metabolomics Identifies Variations in Robustness of Biomarkers

Meta-Analysis of COVID-19 Metabolomics Identifies Variations in Robustness of Biomarkers

The global COVID-19 pandemic resulted in widespread harms but also rapid advances in vaccine development, diagnostic testing, and treatment. As the disease moves to endemic status, the need to identify characteristic biomarkers of the disease for diagnostics or therapeutics has lessened, but lessons...

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Bibliographic Details
Main Authors: Anthony Onoja, Johanna von Gerichten, Holly-May Lewis, Melanie J. Bailey, Debra J. Skene, Nophar Geifman, Matt Spick
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:International Journal of Molecular Sciences
Subjects:
COVID-19
diagnostics
machine learning
mass spectrometry
metabolomics
validation
Online Access:https://www.mdpi.com/1422-0067/24/18/14371

Internet

https://www.mdpi.com/1422-0067/24/18/14371

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