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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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