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Translational Andrology and Urology|November 13, 2025
Integrating transcriptomics, single-cell omics, and deep learning-based histopathological features to identify <i>OLFML3</i> in bladder cancerFazhong Dai, Yifeng He, Xiongsheng Huang, et al.BMC Cancer|February 20, 2025
Pathology-based deep learning features for predicting basal and luminal subtypes in bladder cancerZongtai Zheng, Fazhong Dai, Ji Liu, et al.International Journal of Women'S Health|May 20, 2025
Global Burden and Trends of UTI in Premenopausal and Postmenopausal Women from 1990 to 2021 and Projections to 2044Ke Tang, Jiayao Feng, Hongshen Lai, et al.Translational Andrology and Urology|July 21, 2025
Integrated single-cell genomics, transcriptomics, and pathomics to identify potential biomarkers in muscle-invasive bladder cancerYifeng He, Fazhong Dai, Zhenwei Wang, et al.Current Cancer Drug Targets|May 12, 2025
MND1 Promotes the Proliferation of Prostate Cancer Cell via the CCNB1/p53 Signaling PathwayZhongxiang Zhao, Yesong Zou, Qian Lv, et al.Current Cancer Drug Targets|November 21, 2025
Integrative Deep Learning from H&E Images Reveals Prognostically Distinct Pathology-Based Subtypes in Bladder CancerHuanhui Li, Fazhong Dai, Yongqiang Zhang, et al.Research (Washington, D.C.)|January 28, 2026
A Deep Learning-Generated Mixed Tumor-Stroma Ratio for Prognostic Stratification and Multi-omics Profiling in Bladder CancerYifeng He, Jinbo Xie, Suquan Zhong, et al.Pageof 1