Predicting the Future: Machine-Based Learning for MRD Prognostication.
editorial · Level V
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- Record sourced from PubMed, PMID 35357437.
- Also identified by DOI 10.1158/1078-0432.CCR-22-0219.
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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.
Medical subject headings
- Multiple Myeloma