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Early Prediction of COVID-19 Patient Survival by Targeted Plasma Multi-Omics and Machine Learning.
Richard, Vincent R; Gaither, Claudia; Popp, Robert; Chaplygina, Daria; Brzhozovskiy, Alexander; Kononikhin, Alexey; Mohammed, Yassene; Zahedi, René P; Nikolaev, Evgeny N; Borchers, Christoph H.
  • Richard VR; Segal Cancer Proteomics Centre, Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada.
  • Gaither C; MRM Proteomics, Montreal, Canada.
  • Popp R; MRM Proteomics, Montreal, Canada.
  • Chaplygina D; Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Moscow, Russia.
  • Brzhozovskiy A; Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Moscow, Russia.
  • Kononikhin A; Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Moscow, Russia.
  • Mohammed Y; Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands; Genome BC Proteomics Centre, University of Victoria, Victoria, Canada.
  • Zahedi RP; Segal Cancer Proteomics Centre, Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada; Manitoba Centre for Proteomics & Systems Biology, John Buhler Research Centre, University of Manitoba, Winnipeg, Canada; Department of Internal Medicine, University of Manitoba
  • Nikolaev EN; Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Moscow, Russia.
  • Borchers CH; Segal Cancer Proteomics Centre, Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada; Gerald Bronfman Department of Oncology, Division of Experimental Medicine, Lady Davis Institute for Medical Research, McGill University, Montreal, Canada; Department of Pathology,
Mol Cell Proteomics ; 21(10): 100277, 2022 10.
Article en En | MEDLINE | ID: mdl-35931319
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article