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

Identification and validation of an explainable machine learning model for hepatocellular carcinoma at high risk: a retrospective multicenter cohort study

识别和验证用于高危肝细胞癌的可解释机器学习模型:一项回顾性多中心队列研究

Hao, Shufang; Liang, Xiaoyu; Li, Xue; Zuo, Mengxuan; Fu, Yan; Ouyang, Yushu; Zhu, Guolian; Li, Chengzhi; Chen, Junwei; Wang, Hongyu; An, Chao; Li, Jinwei; Liu, Wendao

Risk Model for Predicting Aggressive Recurrence of Hepatocellular Carcinoma after Microwave Ablation Using MRI and Clinical Parameters

利用MRI和临床参数预测微波消融术后肝细胞癌侵袭性复发的风险模型

Wei, Ran; Zuo, Mengxuan; Li, Wang; Liu, Wendao; Li, Chengzhi; An, Chao

BDCD: a comprehensive Brain Disease Cell-cell communication Database

BDCD:一个综合性的脑疾病细胞间通讯数据库

Liu, Xinyi; Citu, Citu; Qu, Gang; Liu, Wendao; Enduru, Nitesh; Liu, Andi; Tung, Chia-Hao; Zhao, Zhongming

Serial Thermal Ablation Induces Abscopal Antitumor Immunity and Reveals Targetable CSF1R-Dependent Resistance in Pancreatic Cancer

连续热消融诱导远隔抗肿瘤免疫并揭示胰腺癌中可靶向的 CSF1R 依赖性耐药性

Strickland, Lincoln N; Liu, Wendao; Demmel, MacKenzie V; Waller, Alyssa M; Dash, Shwetapadma; Turabi, Khadija; Mardik, Nicolette R; Van Kirk, Casey J; O'Brien, Baylee; Rowe, Julie; Cen, Putao; Klute, Kelsey A; Cox, Jesse L; Zhao, Zhongming; Hingorani, Sunil R; Wray, Curtis J; Thosani, Nirav C; Bailey-Lundberg, Jennifer M

Phenotype-Based Classification of Obstructive Hypertrophic Cardiomyopathy Undergoing Myectomy.

基于表型的梗阻性肥厚型心肌病心肌切除术分类

Cui Hao, Nie Hao, Wang Congrui, Zhang Ningning, Wang Yifan, Liu Wendao, Huang Siyuan, Chen Xiao, Jia Hao, Shu Songren, Fu Mengxia, Zhao Qian, Hua Xiumeng, Chang Yuan, Song Yunhu, Song Jiangping

Correction: Machine learning-based decision support model for selecting intra-arterial therapies for unresectable hepatocellular carcinoma: A national real-world evidence-based study

更正:基于机器学习的决策支持模型用于选择不可切除肝细胞癌的动脉内治疗:一项全国性的真实世界循证研究

An, Chao; Wei, Ran; Liu, Wendao; Fu, Yan; Gong, Xiaolong; Li, Chengzhi; Yao, Wang; Zuo, Mengxuan; Li, Wang; Li, Yansheng; Wu, Fatian; Liu, Kejia; Yan, Dong; Wu, Peihong; Han, Jianjun

Using Machine Learning to Predict Advanced-Stage Progression of Intermediate-Stage Hepatocellular Carcinoma after Transarterial Chemoembolization

利用机器学习预测经动脉化疗栓塞术后中期肝细胞癌进展至晚期

Wei, Ran; Liu, Zelong; Ju, Lingjie; Zuo, Mengxuan; Yao, Wang; Li, Wang; Fu, Yan; Liu, Wendao; Li, Chengzhi; Wu, Peihong; Han, Jianjun; Zhang, Yaojun; Tu, Jianfei; Ren, Junhong; An, Chao; Peng, Zhenwei

Investigating prognostic features in high-grade serous ovarian cancer through gene regulatory network inference with single-cell transcriptomic profiles

通过单细胞转录组谱推断基因调控网络,研究高级别浆液性卵巢癌的预后特征

Itai, Toshiyuki; Dai, Yulin; Liu, Wendao; Lee, Dung-Fang; Zhao, Zhongming

Refining Intra-Arterial Therapy Selection for Large Hepatocellular Carcinoma: A Deep Learning Approach Based on Covariate Interaction Analysis

基于协变量交互分析的深度学习方法优化大型肝细胞癌的动脉内治疗选择

An, Chao; Li, Lei; Luo, Yang; Zuo, Mengxuan; Liu, Wendao; Li, Chengzhi; Wu, Peihong

FADVI: disentangled representation learning for robust integration of single-cell and spatial omics data

FADVI:用于稳健整合单细胞和空间组学数据的解耦表征学习

Liu, Wendao; Qu, Gang; Simon, Lukas M; Theis, Fabian J; Zhao, Zhongming