Personalized treatment strategies for breast adenoid cystic carcinoma: A machine learning approach

Personalized treatment strategies for breast adenoid cystic carcinoma: A machine learning approach

Background: Breast adenoid cystic carcinoma (BACC) is a rare subtype of breast cancer that accounts for less than 0.1 % of all cases. This study was designed to assess the efficacy of various treatment approaches for BACC and to create the first web-based tool to facilitate personalized treatment de...

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Bibliographic Details
Main Authors: Sakhr Alshwayyat, Mahmoud Bashar Abu Al Hawa, Mustafa Alshwayyat, Tala Abdulsalam Alshwayyat, Siya sawan, Ghaith Heilat, Hanan M. Hammouri, Sara Mheid, Batool Al Shweiat, Hamdah Hanifa
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Breast
Subjects:
Adenoid cystic carcinoma
Breast neoplasms
Estrogen receptors
Machine learning
Prognosis
Survival analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S0960977625000074
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