Machine learning enhances risk stratification and treatment failure prediction in diffuse large B‐cell lymphoma

provides a general framework for registry-based prognostic modeling that can be adapted to other lymphoma subtypes and healthcare systems.

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Publication Details

Journal
HemaSphere
Published
2026-04-01
DOI
https://doi.org/10.1002/hem3.70336
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine learning enhances risk stratification and treatment failure prediction in diffuse large B‐cell lymphoma

Rudi Agius, Mikkel Werling, Alexander Djupnes Fuglkjær, Peter Brown et al.
HemaSphere
Lymphoma Diagnosis and Treatment
article

Machine learning enhances risk stratification and treatment failure prediction in diffuse large B‐cell lymphoma

Rudi Agius, Mikkel Werling, Alexander Djupnes Fuglkjær, Peter Brown, Carsten U. Niemann
article en

Abstract

provides a general framework for registry-based prognostic modeling that can be adapted to other lymphoma subtypes and healthcare systems.

HemaSphereVol. 10(4)
University of Copenhagen (DK), Copenhagen University Hospital (DK), Danish Breast Cancer Cooperative Group (DK), Danish Cancer Society (DK), Aalborg University (DK)
Villum Fonden, Alfred Benzon Foundation, Novo Nordisk Fonden
Partnerships for the goals
Openalex Percentile: Top 27%
Lymphoma Diagnosis and Treatment
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