Predicting humoral responses to primary and booster SARS-CoV-2 mRNA vaccination in people living with HIV: a machine learning approach

Background SARS-CoV-2 mRNA vaccines are highly immunogenic in people living with HIV (PLWH) on effective antiretroviral therapy (ART). However, whether viro-immunologic parameters or other factors affect immune responses to vaccination is debated. This study aimed to develop a machine learning-based...

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Vydáno v:	Journal of translational medicine Ročník 22; číslo 1; s. 432 - 9
Hlavní autoři:	Montesi, Giorgio, Augello, Matteo, Polvere, Jacopo, Marchetti, Giulia, Medaglini, Donata, Ciabattini, Annalisa
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 07.05.2024 BioMed Central Ltd BMC
Témata:	Adult Algorithms Analysis Antibodies, Viral - blood Antibodies, Viral - immunology Biomedical and Life Sciences Biomedicine Care and treatment COVID-19 - immunology COVID-19 - prevention & control COVID-19 Vaccines - administration & dosage COVID-19 Vaccines - immunology Female Health aspects HIV HIV Infections - immunology HIV patients Humans Immune response Immunity, Humoral Immunization, Secondary ImmunoVirology and ImmunoOncology Longitudinal Studies Machine Learning Male Medicine/Public Health Methods Middle Aged mRNA mRNA Vaccines RNA, Messenger - genetics RNA, Messenger - metabolism SARS-CoV-2 SARS-CoV-2 - immunology Statistical modeling Vaccination Vaccines Italy SARS-CoV-2 Statistical modeling Immune response HIV ImmunoVirology Machine learning Antibodies mRNA Vaccines
ISSN:	1479-5876, 1479-5876
On-line přístup:	Získat plný text
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