日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Unsupervised and supervised machine learning to identify variability of tumor-educated platelets and association with pan-cancer: A cross-national study

利用无监督和有监督机器学习方法识别肿瘤相关血小板的变异性及其与泛癌的关联:一项跨国研究

Chen, Xiong; Shen, Runnan; Lv, Lin; Zhu, Dongxi; You, Guochang; Tian, Zhenluan; Chen, Jinwei; Lin, Shen; Xu, Jiatang; Hong, Guibin; Li, Hu; Luo, Mingli; Cao, Lin; Wu, Shaoxu; Huang, Kai

Engineering CRISPR System-Based Bacterial Outer Membrane Vesicle Potentiates T Cell Immunity for Enhanced Cancer Immunotherapy

利用CRISPR系统改造细菌外膜囊泡可增强T细胞免疫力,从而提高癌症免疫治疗效果

Wang, Hongjin; Zhan, Hengji; Pan, Bolin; Zeng, Leli; Chen, Zehua; Liu, Sen; Zhang, Qiang; Hong, Xuwei; Lu, Junlin; Lin, Xinrou; Zhao, Xiao; Lai, Jiajian; Jie, Kaiwen; Li, Ye; Zhong, Jianmei; Peng, Shengmeng; Chen, Siting; Chen, Changhao; Zhong, Wenlong; Wu, Shaoxu; Pan, Yihang; Lin, Tianxin; Chen, Xu

Artificial Intelligence-Assisted Urine Cytology for Noninvasive Detection of Muscle-Invasive Urothelial Carcinoma: A Multi-Center Diagnostic Study with Prospective Validation

人工智能辅助尿细胞学无创检测肌层浸润性尿路上皮癌:一项前瞻性验证的多中心诊断研究

Shen, Runnan; Jiang, Fan; Huang, Xiaowei; Hong, Guibin; Luo, Yun; Wan, Huan; Xie, Ye; Zhu, Mengyi; Wang, Yun; Liu, Bohao; Qin, Ping; Wang, Yahui; Wang, Haoxuan; Yang, Hongkun; Lin, Zhen; Chen, Rui; Ouyang, Nengtai; Huang, Jian; Lin, Tianxin; Wu, Shaoxu

Deep learning-based model for prediction of early recurrence and therapy response on whole slide images in non-muscle-invasive bladder cancer: a retrospective, multicentre study

基于深度学习的模型用于预测非肌层浸润性膀胱癌全切片图像的早期复发和治疗反应:一项回顾性多中心研究

Jiang, Fan; Hong, Guibin; Zeng, Hong; Lin, Zhen; Liu, Ye; Xu, Abai; Shen, Runnan; Xie, Ye; Luo, Yun; Wang, Yun; Zhu, Mengyi; Yang, Hongkun; Wang, Haoxuan; Huang, Shuting; Chen, Rui; Lin, Tianxin; Wu, Shaoxu

Immune System Alterations in the Development of Three Urological Cancers: Insights from Large-Sample Mendelian Randomization

三种泌尿系统癌症发展过程中免疫系统的改变:来自大样本孟德尔随机化的启示

Chen, Zhijian; Xie, Ye; Chen, Xiong; Hong, Guibin; Shen, Runnan; Lin, Haishan; Jiang, Fan; Wang, Yun; Zhu, Mengyi; Liu, Yixuan; Wang, Haoxuan; Yang, Hongkun; Lin, Tianxin; Wu, Shaoxu

An artificial intelligence model for detecting pathological lymph node metastasis in prostate cancer using whole slide images: a retrospective, multicentre, diagnostic study

利用全切片图像检测前列腺癌病理性淋巴结转移的人工智能模型:一项回顾性、多中心诊断研究

Wu, Shaoxu; Wang, Yun; Hong, Guibin; Luo, Yun; Lin, Zhen; Shen, Runnan; Zeng, Hong; Xu, Abai; Wu, Peng; Xiao, Mingzhao; Li, Xiaoyang; Rao, Peng; Yang, Qishen; Feng, Zhengyuan; He, Quanhao; Jiang, Fan; Xie, Ye; Liao, Chengxiao; Huang, Xiaowei; Chen, Rui; Lin, Tianxin

Development and validation of an artificial intelligence-based model for detecting urothelial carcinoma using urine cytology images: a multicentre, diagnostic study with prospective validation

利用尿液细胞学图像开发和验证基于人工智能的尿路上皮癌检测模型:一项多中心前瞻性验证诊断研究

Wu, Shaoxu; Shen, Runnan; Hong, Guibin; Luo, Yun; Wan, Huan; Feng, Jiahao; Chen, Zeshi; Jiang, Fan; Wang, Yun; Liao, Chengxiao; Li, Xiaoyang; Liu, Bohao; Huang, Xiaowei; Liu, Kai; Qin, Ping; Wang, Yahui; Xie, Ye; Ouyang, Nengtai; Huang, Jian; Lin, Tianxin

A narrative review of advances in the management of urothelial cancer: Diagnostics and treatments

尿路上皮癌诊疗进展综述:诊断和治疗

Wu, Shaoxu; Xiong, Shengwei; Li, Juan; Hong, Guibin; Xie, Ye; Tang, Qi; Hao, Han; Sheng, Xinan; Li, Xuesong; Lin, Tianxin

An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer

用于膀胱癌浸润深度和组织学分级病理诊断的人工智能模型

Pan, Jiexin; Hong, Guibin; Zeng, Hong; Liao, Chengxiao; Li, Huarun; Yao, Yuhui; Gan, Qinghua; Wang, Yun; Wu, Shaoxu; Lin, Tianxin

Construction of 3D and 2D contrast-enhanced CT radiomics for prediction of CGB3 expression level and clinical prognosis in bladder cancer

构建三维和二维增强CT影像组学模型以预测膀胱癌中CGB3表达水平和临床预后

Zhang, Yuanfeng; Xu, Zhuangyong; Wu, Shaoxu; Zhu, Tianxiang; Hong, Xuwei; Chi, Zepai; Malla, Rujan; Jiang, Jingqi; Huang, Yi; Xu, Qingchun; Wang, Zhiping; Zhang, Yonghai