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Editorial
. 2022 Jun 13;28(12):2482-2484.
doi: 10.1158/1078-0432.CCR-22-0219.

Predicting the Future: Machine-Based Learning for MRD Prognostication

Charlotte Pawlyn  1 , Faith E Davies  2
Affiliations
Editorial

Predicting the Future: Machine-Based Learning for MRD Prognostication

Charlotte Pawlyn et al. Clin Cancer Res. .

Abstract

The prognostic significance of minimal residual disease (MRD) detection in multiple myeloma is well established. Understanding factors that predict for MRD negativity, such as tumor burden, cytogenetic, and immune-related biomarkers, may enable us to improve outcome prediction at diagnosis, and in the future move toward tailored treatment approaches. See related article by Guerrero et al., p. 2598.

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