Identifying triple-negative breast cancer patients at high risk of worse prognosis using molecular features derived from histology images Meeting Abstract

  

Authors:	Oh, J. H.; Pareja, F.; Elkin, R.; Norton, L.; Deasy, J.
Abstract Title:	Identifying triple-negative breast cancer patients at high risk of worse prognosis using molecular features derived from histology images
Meeting Title:	AACR Special Conference: Artificial Intelligence and Machine Learning (2025)
Journal Title:	Clinical Cancer Research
Volume:	31
Issue:	13 Suppl.
Meeting Dates:	2025 Jul 10-12
Meeting Location:	Montreal, Canada
ISSN:	1078-0432
Publisher:	American Association for Cancer Research
Date Published:	2025-07-10
Start Page:	B33
Language:	English
ACCESSION:	WOS:001552274000018
DOI:	10.1158/1557-3265.Aimachine-b033
PROVIDER:	wos
Notes:	Meeting Abstract: B033 -- Source: Wos

https://synapse.mskcc.org/synapse/works/has_related_data_chk/228914