Personalized risk predictor for acute cellular rejection in lung transplant using soluble CD31

We evaluated the contribution of artificial intelligence in predicting the risk of acute cellular rejection (ACR) using early plasma levels of soluble CD31 (sCD31) in combination with recipient haematosis, which was measured by the ratio of arterial oxygen partial pressure to fractional oxygen inspi...

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Detalles Bibliográficos
Autores principales: Tran-Dinh, Alexy, Laurent, Quentin, Even, Guillaume, Tanaka, Sébastien, Lortat-Jacob, Brice, Castier, Yves, Mal, Hervé, Messika, Jonathan, Mordant, Pierre, Nicoletti, Antonino, Montravers, Philippe, Caligiuri, Giuseppina, Morilla, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587244/
https://www.ncbi.nlm.nih.gov/pubmed/36271122
http://dx.doi.org/10.1038/s41598-022-21070-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587244/
https://www.ncbi.nlm.nih.gov/pubmed/36271122
http://dx.doi.org/10.1038/s41598-022-21070-1

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