AI-driven subtyping in polycystic ovary syndrome:from diagnostic heterogeneity to precision managementOA
AI-driven subtyping in polycystic ovary syndrome:from diagnostic heterogeneity to precision management
Han Zhao;Shigang Zhao;Zi-Jiang Chen
State Key Laboratory of Reproductive Medicine and Offspring Health,Center for Reproductive Medicine,Institute of Women,Children and Reproductive Health,Shandong University,Jinan,ChinaState Key Laboratory of Reproductive Medicine and Offspring Health,Center for Reproductive Medicine,Institute of Women,Children and Reproductive Health,Shandong University,Jinan,ChinaState Key Laboratory of Reproductive Medicine and Offspring Health,Center for Reproductive Medicine,Institute of Women,Children and Reproductive Health,Shandong University,Jinan,China
《妇产科临床医学（英文）》 2026 (2)
72-73,2
This work was supported by the National Key Research and Development Program of China(2024YFC2707300),the National Natural Science Foundation of China(32588201,82421004,and 82571889),the Shandong Provincial Key Research and Development Program(2024CXPT087)and the Ningxia Hui Autonomous Region Key Research and Developmental Program(2024BEG02019).
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