Combining Semi-Targeted Metabolomics and Machine Learning to Identify Metabolic Alterations in the Serum and Urine of Hospitalized Patients with COVID-19

Viral infections cause metabolic dysregulation in the infected organism. The present study used metabolomics techniques and machine learning algorithms to retrospectively analyze the alterations of a broad panel of metabolites in the serum and urine of a cohort of 126 patients hospitalized with COVI...

Descripción completa

Detalles Bibliográficos
Autores principales: Baiges-Gaya, Gerard, Iftimie, Simona, Castañé, Helena, Rodríguez-Tomàs, Elisabet, Jiménez-Franco, Andrea, López-Azcona, Ana F., Castro, Antoni, Camps, Jordi, Joven, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856035/
https://www.ncbi.nlm.nih.gov/pubmed/36671548
http://dx.doi.org/10.3390/biom13010163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856035/
https://www.ncbi.nlm.nih.gov/pubmed/36671548
http://dx.doi.org/10.3390/biom13010163

Ejemplares similares