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Discovery of Dynamic Models for AML Disease Progression from Longitudinal Multi-Modal Clinical Data Using Explainable Machine Learning

2025-04-09

Abstract excerpt

Acute Myeloid Leukemia (AML) is a complex and heterogeneous disease identified by severe clinical progression, fast cellular proliferation, and often high mortality rates. Incorporating diverse longitudinal information on patients’ medical histories is essential for developing effective disease predictive models applicable to both research and clinical settings. Here, we present a robust methodology for discoverin...

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Literature Corpus work
66d91a59-a0b2-5a50-9cbb-d7da154bb224
DOI
10.1101/2025.04.07.25325267
Open publication

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Discovery of Dynamic Models for AML Disease Progression from Longitudinal Multi-Modal Clinical Data Using Explainable Machine LearningDOI 10.1101/2025.04.07.25325267
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