A pilot study of implication of machine learning for relapse prediction after allogeneic stem cell transplantation in adults with Ph-positive acute lymphoblastic leukemia

The posttransplant relapse in Ph-positive ALL increases the risk of death. There is an unmet need for instruments to predict the risk of relapse and plan prophylaxis. In this study, we analyzed posttransplant data by machine learning algorithms. Seventy-four Ph-positive ALL patients with a median ag...

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Detalles Bibliográficos
Autores principales: Afanaseva, Kseniia S., Bakin, Evgeny A., Smirnova, Anna G., Barkhatov, Ildar M., Gindina, Tatiana L., Moiseev, Ivan S., Bondarenko, Sergey N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556079/
https://www.ncbi.nlm.nih.gov/pubmed/37798335
http://dx.doi.org/10.1038/s41598-023-43950-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556079/
https://www.ncbi.nlm.nih.gov/pubmed/37798335
http://dx.doi.org/10.1038/s41598-023-43950-w

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