Article

Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models

2024-11-13

Abstract excerpt

<h4>ABSTRACT</h4> Acute Myeloid Leukemia (AML) is a genetically and clinically heterogeneous disease that can develop at any age. While AML incidence increases with age and distinct genetic alterations are observed in younger versus older patients, current classification systems do not incorporate age as a defining factor. In this study, we analyzed RNA-seq data from 404 AML patients at initial diagnosis, leverag...

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Literature Corpus work: 68fdbe64-e1bb-56bb-88aa-e7b3508503bf
DOI: 10.1101/2024.11.13.24317248

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