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

Colorectal mucosal exposure area assessment using artificial intelligence: a multicenter prospective observational study

利用人工智能评估结直肠黏膜暴露面积:一项多中心前瞻性观察研究

Li, Jialing; Huang, Li; Luo, Chaijie; Zeng, Xiaoquan; Li, Ying; Fan, Jianping; Yao, Liwen; Wang, Jing; Tan, Shuzhe; Wang, Xueying; Zhou, Wei; Wu, Lianlian; Gong, Dexin; Xu, Yuliang; Li, Muqiu; Wang, Ningning; Gao, Huafen; Yu, Honggang

Multi-Task Cascade Forest Framework for Predicting Acute Toxicity across Species

用于预测跨物种急性毒性的多任务级联森林框架

Liu, Kunhong; Li, Ruijiang; Wu, Lianlian; Yang, Jun; Han, Junshan; He, Song; Bo, Xiaochen; Gao, Jie

ToxACoL: an endpoint-aware and task-focused compound representation learning paradigm for acute toxicity assessment

ToxACoL:一种面向终点和任务的化合物表征学习范式,用于急性毒性评估

Lu, Jiang; Wu, Lianlian; Li, Ruijiang; Wan, Mengxuan; Yang, Jun; Zan, Peng; Bai, Hui; He, Song; Bo, Xiaochen

Evidential deep learning-based drug-target interaction prediction.

基于深度学习的药物靶点相互作用预测

Zhao Yanpeng, Xing Yuting, Zhang Yixin, Wang Yifei, Wan Mengxuan, Yi Duoyun, Wu Chengkun, Li Shangze, Xu Huiyan, Zhang Hongyang, Liu Ziyi, Zhou Guowei, Li Mengfan, Wang Xuanze, Chen Zhengshan, Li Ruijiang, Wu Lianlian, Zhao Dongsheng, Zan Peng, He Song, Bo Xiaochen

Machine Learning-Enabled Drug-Induced Toxicity Prediction

基于机器学习的药物毒性预测

Bai, Changsen; Wu, Lianlian; Li, Ruijiang; Cao, Yang; He, Song; Bo, Xiaochen

Single-cell analyses of intestinal epithelium reveal the dysregulation of gut immune microenvironment in systemic lupus erythematosus

对肠上皮细胞的单细胞分析揭示了系统性红斑狼疮中肠道免疫微环境的失调

Qiaolin Wang ,Yutong Wu ,Lianlian Ouyang ,Xiaoli Min ,Meiling Zheng ,Lingyu Gao ,Xiaoyun Chen ,Zhi Hu ,Shuang Yang ,Wenjuan Jiang ,Sujie Jia ,Qianjin Lu ,Ming Zhao

Single-cell RNA sequencing analysis reveals a novel porcine alveolar macrophage subtype with high SLAMF7 expression promoting PRRSV infection

单细胞RNA测序分析揭示了一种新型猪肺泡巨噬细胞亚型,该亚型具有高水平的SLAMF7表达,可促进PRRSV感染。

Hu, Ankang; Guo, Yao; Zhou, Yusi; Chen, Piao; Zhu, Yuhua; Liu, Tingjun; Wu, Lianlian; Qiao, Dandan; Huang, Zhutao; Chen, Yang; Han, Xufeng; Liu, Jing; Chen, Quangang

Exploring the influence of endoscopist characteristics and artificial intelligence on adenoma detection in colonoscopy

探讨内镜医师特征和人工智能对结肠镜检查中腺瘤检出的影响

Zhang, Chenxia; Gong, Dexin; Tao, Xiao; Huang, Li; Dong, Zehua; Pan, Jie; Lin, Jiejun; Su, Huang; Wu, Lianlian

Development and clinical validation of deep learning-based immunohistochemistry prediction models for subtyping and staging of gastrointestinal cancers

基于深度学习的免疫组织化学预测模型在胃肠道癌症亚型和分期中的开发和临床验证

Wang, Junxiao; Zhang, Shiying; Li, Jia; Deng, Mei; Zeng, Zhi; Dong, Zehua; Chen, Fangfang; Liu, Wen; Wu, Lianlian; Yu, Honggang

Pan-cancer analysis shows that TRIP13 as a potential prognostic and immunotherapeutic biomarker for multiple cancer types including LIHC and LUAD

泛癌分析表明,TRIP13 可作为多种癌症类型(包括肝内胆管癌和肺腺癌)的潜在预后和免疫治疗生物标志物。

Li, Chong; Zhou, Ziyu; Liu, Yi; Guo, Yao; Liu, Tingjun; Teng, Jie; Chen, Piao; Hu, Ankang; Wu, Lianlian; Qiao, Dandan; Chen, Quangang; Liu, Jing