Combining Deep Phenotyping of Serum Proteomics and Clinical Data via Machine Learning for COVID-19 Biomarker Discovery

The persistence of long-term coronavirus-induced disease 2019 (COVID-19) sequelae demands better insights into its natural history. Therefore, it is crucial to discover the biomarkers of disease outcome to improve clinical practice. In this study, 160 COVID-19 patients were enrolled, of whom 80 had...

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Detalles Bibliográficos
Autores principales: Beltrami, Antonio Paolo, De Martino, Maria, Dalla, Emiliano, Malfatti, Matilde Clarissa, Caponnetto, Federica, Codrich, Marta, Stefanizzi, Daniele, Fabris, Martina, Sozio, Emanuela, D’Aurizio, Federica, Pucillo, Carlo E. M., Sechi, Leonardo A., Tascini, Carlo, Curcio, Francesco, Foresti, Gian Luca, Piciarelli, Claudio, De Nardin, Axel, Tell, Gianluca, Isola, Miriam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409308/
https://www.ncbi.nlm.nih.gov/pubmed/36012423
http://dx.doi.org/10.3390/ijms23169161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409308/
https://www.ncbi.nlm.nih.gov/pubmed/36012423
http://dx.doi.org/10.3390/ijms23169161

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