Precision oncology in AML: validation of the prognostic value of the knowledge bank approach and suggestions for improvement

Recently, a novel knowledge bank (KB) approach to predict outcomes of individual patients with acute myeloid leukemia (AML) was developed using unbiased machine learning. To validate its prognostic value, we analyzed 1612 adults with de novo AML treated on Cancer and Leukemia Group B front-line tria...

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Detalles Bibliográficos
Autores principales: Bill, Marius, Mrózek, Krzysztof, Giacopelli, Brian, Kohlschmidt, Jessica, Nicolet, Deedra, Papaioannou, Dimitrios, Eisfeld, Ann-Kathrin, Kolitz, Jonathan E., Powell, Bayard L., Carroll, Andrew J., Stone, Richard M., Garzon, Ramiro, Byrd, John C., Bloomfield, Clara D., Oakes, Christopher C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261916/
https://www.ncbi.nlm.nih.gov/pubmed/34229733
http://dx.doi.org/10.1186/s13045-021-01118-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261916/
https://www.ncbi.nlm.nih.gov/pubmed/34229733
http://dx.doi.org/10.1186/s13045-021-01118-x

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