Cancer taxonomy: pathology beyond pathology.
Artificial intelligence
Cancer taxonomy
Pathology
Journal
European journal of cancer (Oxford, England : 1990)
ISSN: 1879-0852
Titre abrégé: Eur J Cancer
Pays: England
ID NLM: 9005373
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
received:
20
03
2019
accepted:
27
03
2019
pubmed:
21
5
2019
medline:
2
6
2020
entrez:
21
5
2019
Statut:
ppublish
Résumé
The way we categorise and classify cancer types dictates not only the way we diagnose and treat patients but also many of our decisions on biomarker and drug development. In addition, cancer taxonomy proves the ground truth for future discoveries in the area of computational pathology and artificial intelligence. This editorial comment illustrates the relevance of cancer taxonomy in clinical and morphomolecular diagnosis, prognosis and therapeutic prediction; it shows its importance in identifying the epidemiology, aetiology and pathogenesis in oncology and explains its determinant role in computational tissue-based cancer diagnosis.
Identifiants
pubmed: 31108243
pii: S0959-8049(19)30244-8
doi: 10.1016/j.ejca.2019.03.026
pii:
doi:
Types de publication
Editorial
Langues
eng
Sous-ensembles de citation
IM
Pagination
57-60Subventions
Organisme : World Health Organization
ID : 001
Pays : International
Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.