Current diagnostic methods fail to predict which patients with multiple myeloma will benefit from daratumumab-containing treatment regimens. Gómez-Martín et al. demonstrate that a machine learning str...

Current diagnostic methods fail to predict which patients with multiple myeloma will benefit from daratumumab-containing treatment regimens. Gómez-Martín et al. demonstrate that a machine learning strategy applied to small RNA sequencing data from plasma extracellular vesicle fractions can generate biologically motivated isomiR signatures that predict treatment response.

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