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Abstract PS3-06-14: Interpretable Graph Learning on Preoperative Biopsy Predicts Pathological Complete Response to Neoadjuvant Therapy in Breast Cancer

Year: 2026

Type: conference-abstract

Source: Clinical Cancer Research

DOI: 10.1158/1557-3265.sabcs25-ps3-06-14

Authors: W. Hou, Z. Pu, Z. Xu, A. Wu, Z. Liu, K. Zhao, C. Duan, J. Guo, K. Chen, S. Qiu, Z. Du, X. Zhao, J. Bai, H. Zeng, G. Zhang

Institutions: Kunming Medical University, Peking University Cancer Hospital, Sun Yat-sen University, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Southern Medical University, First Affiliated Hospital of Kunming Medical University, Sun Yat-sen Memorial Hospital, Shantou Central Hospital, Xiamen University, Cancer Hospital of Shantou University Medical College

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7130711668

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