AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images

AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images

Abstract Breast cancer patients exhibit variable responses to neoadjuvant therapy (NAT), necessitating robust predictive biomarkers. We developed an artificial intelligence (AI)-driven integrated predictive model (IPM) combining histopathological, clinical, and immune features to address this challe...

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Bibliographic Details
Main Authors: Fengling Li, Yani Wei, Wenchuan Zhang, Yuanyuan Zhao, Jing Fu, Xiuli Xiao, Yan Qiu, Yuhao Yi, Yongquan Yang, Hong Bu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-01033-1
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