Exploring personalized neoadjuvant therapy selection strategies in breast cancer: an explainable multi-modal response modelResearch in context

Exploring personalized neoadjuvant therapy selection strategies in breast cancer: an explainable multi-modal response modelResearch in context

Summary: Background: Neoadjuvant therapy (NAT) regimens for breast cancer are generally determined according to cancer stage and molecular subtypes without fully considering the inter-patient variability, which may lead to inefficiency or overtreatment. Artificial intelligence (AI) may support pers...

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Bibliographic Details
Main Authors: Luyi Han, Tianyu Zhang, Anna D'Angelo, Anna van der Voort, Katja Pinker-Domenig, Marleen Kok, Gabe Sonke, Yuan Gao, Xin Wang, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Tao Tan, Ritse Mann
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:EClinicalMedicine
Subjects:
Breast cancer
Neoadjuvant therapy
Precise medicine
Multi-modal learning
Explainable artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537025002883
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