Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipients

The coronavirus disease 2019 pandemic has underscored the importance of vaccines, especially for immunocompromised populations like solid organ transplant recipients, who often have weaker immune responses. The purpose of this study was to compare deep learning architectures for predicting severe ac...

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Veröffentlicht in:	American journal of transplantation 2024-12
Hauptverfasser:	Azarfar, Ghazal, Sun, Yingji, Pasini, Elisa, Sidhu, Aman, Brudno, Michael, Humar, Atul, Kumar, Deepali, Bhat, Mamatha, Ferreira, Victor H., Delisle, Jean-Sébastien, Hosseini-Moghaddam, Sasan, Cardinal, Héloïse, Dieudé, Mélanie, Racine, Normand, Top, Karina, DeSerres, Gaston, West, Lori, Cloutier, Marc, Bazin, Renée, Lemieux, Christopher, De Serres, Sacha, Shalhoub, Sarah, Kabbani, Dima, Hébert, Marie-Josée, Gongal, Patricia, Stephens, Kristian, Belga, Sara, Levings, Megan K., Turgeon, Julie, Khrifi, Zineb, Samson, France, Desjardins, Maryse, Brown, Hélène, Doiron, Johanne, Baker, Cadence, Toth, Taylor, Luke, Grant, Pinzon, Natalia, Hall, Victoria G., Robertson, Kimberly, Mangan, Heather
Format:	Artikel
Sprache:	eng
Schlagworte:	Antibodies COVID-19 Machine Learning Solid Organ Transplantation Vaccination
Online-Zugang:	Volltext
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