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Towards artificial intelligence-driven pathology assessment for hematological malignancies
1Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York. ole2001@med.cornell.edu.
Blood Cancer Discovery
|May 24, 2021
Abstract:
In this issue of Blood Cancer Discovery, Brück et al applied unsupervised and supervised machine learning to bone marrow histopathology images from Myelodysplastic Syndrome (MDS) patients. Their study provides new insights into the pathobiology of MDS and paves the way for increased use of artificial intelligence for the assessment and diagnosis of hematological malignancies.
