Machine‐learning analysis identifies “elite” viral controllers with increased survival and homeostatic responses in critical COVID‐19
Nadia García‐Mateo, Alejandro Álvaro‐Meca, Tamara Postigo, Alicia Ortega, Amanda de la de la Fuente, Raquel Almansa, Noelia Jorge, Laura González‐González, Lara Sánchez Recio, Isidoro Martínez, María Martín‐Vicente, María José Muñoz‐Gómez, Vicente Más, Mónica Vázquez, Olga Cano
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsSARS-CoV-2 and COVID-19 Research · COVID-19 Clinical Research Studies · COVID-19 diagnosis using AI