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Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence

6 May 2025

Abstract excerpt

Acute myeloid leukemia (AML) is a severe hematological malignancy characterized by high recurrence rates, especially in pediatric patients, highlighting the need for reliable prognostic markers. This study proposes methylation signatures associated with AML recurrence using computational methods. DNA methylation data from 696 newly diagnosed and 194 relapsed pediatric AML patients were analyzed. Feature selection...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Identifiers

PMID: 40328883
DOI: 10.1038/s41598-025-99258-4

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