Towards artificial intelligence-driven pathology assessment for hematological malignancies. Academic Article uri icon

Overview

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.

publication date

  • March 22, 2021

Identity

PubMed Central ID

  • PMC8133372

Scopus Document Identifier

  • 85134345068

Digital Object Identifier (DOI)

  • 10.1158/2643-3230.BCD-21-0048

PubMed ID

  • 34027414

Additional Document Info

volume

  • 2

issue

  • 3