Using machine learning to unravel the intricacy of acute myeloid leukemia.

Journal

Haematologica

ISSN: 1592-8721

Titre abrégé: Haematologica

Pays: Italy

ID NLM: 0417435

Informations de publication

Date de publication:
12 Oct 2023

Historique:

received: 25 09 2023

medline: 12 10 2023

pubmed: 12 10 2023

entrez: 12 10 2023

Statut: aheadofprint

Résumé

Not available.

Identifiants

DOI: 10.3324/haematol.2023.284085 PMID: 37822260

pubmed: 37822260

doi: 10.3324/haematol.2023.284085

doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Luca Guarnera (L)

Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland OH, 44114, USA; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome.

Valeria Visconte (V)

Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland OH, 44114. visconv@ccf.org.