Predicting the Future: Machine-Based Learning for MRD Prognostication.

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2022)

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.

Keyphrases

multiple myeloma
current status
deep learning
combination therapy
loop mediated isothermal amplification
replacement therapy