Determining clinical course of diffuse large B-cell lymphoma using targeted transcriptome and machine learning algorithms
Employing machine learning and data from the targeted transcriptome, researchers developed a model to stratify patients with DLBCL into four subgroups based on survival characteristics, in order to predict nonresponse to R-CHOP therapy.
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