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HRD-Informed Digital Histology Model for Predicting Platinum Chemo-Response and Prognosis in High-Grade Serous Ovarian Cancer

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Year: 2026
Type: article
Source: Interdisciplinary Sciences Computational Life Sciences
DOI: 10.1007/s12539-025-00809-0
Authors: Zijian Yang, Liujin Zhang, Luyuan Li, Yan Song, Jie Sun, Fanling Meng
Institutions: Wenzhou Medical University, Chinese Academy of Medical Sciences & Peking Union Medical College, Cancer Hospital of Chinese Academy of Medical Sciences, Harbin Medical University, Third Affiliated Hospital of Harbin Medical University
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

Funder: National Natural Science Foundation of China
Awards: G242978902, G2868628715
OpenAlex ID: W7126091632
FWCI: 3.535
Cites: 39
Cited by: 1
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