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Using machine learning to predict antibody response to SARS-CoV-2 vaccination in solid organ transplant recipients: the multicentre ORCHESTRA cohort

Maddalena Giannella, Manuel Huth, Elda Righi, Jan Hasenauer, Lorenzo Marconi, Angelina Konnova, Akshita Gupta, An Hotterbeekx, Matilda Berkell, Zaira R. Palacios‐Baena, Maria Cristina Morelli, Mariarosa Tamè, Marco Busutti, Luciano Potena, Elena Salvaterra, Giuseppe Feltrin, Gino Gerosa, Lucrezia Furian, Patrizia Burra, Salvatore Piano, Umberto Cillo, Mara Cananzi, Monica Loy, Gianluigi Zaza, Francesco Onorati, Amedeo Carraro, Fiorella Gastaldon, Maurizio Nordio, Samir Kumar‐Singh, Jesús Rodríguez‐Baño, Tiziana Lazzarotto, Pierluigi Viale, Evelina Tacconelli

2023Clinical Microbiology and Infection15 citationsDOIOpen Access PDF

Topics & Concepts

MedicineCohortInternal medicineLogistic regressionVaccinationUnivariate analysisTransplantationImmunologyMultivariate analysisSARS-CoV-2 and COVID-19 ResearchHeparin-Induced Thrombocytopenia and ThrombosisCOVID-19 Clinical Research Studies
Using machine learning to predict antibody response to SARS-CoV-2 vaccination in solid organ transplant recipients: the multicentre ORCHESTRA cohort | Litcius