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Survival Machine Learning Methods Improve Prediction of Histologic Transformation in Follicular and Marginal Zone Lymphomas

2025-08-12

Abstract excerpt

<h4>Background: </h4> /Objectives: Follicular lymphoma (FL) and marginal zone lymphoma (MZL) are low-grade B-cell lymphomas (LGBCLs) with indolent clinical courses but lifelong risk of histologic transformation (HT) to aggressive lymphomas, particularly diffuse large B-cell lymphoma. Predicting HT can be challenging due to class imbalance and the inherent complexity of time-dependent events. While there are curren...

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Literature Corpus work
daea4a39-2e0a-5c39-997a-5b1f9443b1a3
DOI
10.20944/preprints202508.0859.v1
Open publication

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Survival Machine Learning Methods Improve Prediction of Histologic Transformation in Follicular and Marginal Zone LymphomasDOI 10.20944/preprints202508.0859.v1
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