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A machine learning model for predicting serum neutralizing activity against Omicron SARS-CoV-2 BA.2 and BA.4/5 sublineages in the general population.
Camacho, Jorge; Albert, Eliseo; Álvarez-Rodríguez, Beatriz; Rusu, Luciana; Zulaica, Joao; Moreno, Alicia Rodríguez; Peiró, Salvador; Geller, Ron; Navarro, David; Giménez, Estela.
Afiliação
  • Camacho J; Microbiology Service, Clinic University Hospital, INCLIVA Biomedical Research Institute, Valencia, Spain.
  • Albert E; Microbiology Service, Clinic University Hospital, INCLIVA Biomedical Research Institute, Valencia, Spain.
  • Álvarez-Rodríguez B; Institute for Integrative Systems Biology (I2SysBio), Universitat de Valencia-CSIC, Valencia, Spain.
  • Rusu L; Institute for Integrative Systems Biology (I2SysBio), Universitat de Valencia-CSIC, Valencia, Spain.
  • Zulaica J; Institute for Integrative Systems Biology (I2SysBio), Universitat de Valencia-CSIC, Valencia, Spain.
  • Moreno AR; Institute for Integrative Systems Biology (I2SysBio), Universitat de Valencia-CSIC, Valencia, Spain.
  • Peiró S; Foundation for the Promotion of Health and Biomedical Research of the Valencian Community (FISABIO), Valencia, Spain.
  • Geller R; Institute for Integrative Systems Biology (I2SysBio), Universitat de Valencia-CSIC, Valencia, Spain.
  • Navarro D; Microbiology Service, Clinic University Hospital, INCLIVA Biomedical Research Institute, Valencia, Spain.
  • Giménez E; CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain.
J Med Virol ; 95(4): e28739, 2023 04.
Article em En | MEDLINE | ID: mdl-37185857
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article