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

EvoMDT: a self-evolving multi-agent system for structured clinical decision-making in multi-cancer

EvoMDT:一种用于多癌种结构化临床决策的自演化多智能体系统

Liu, Qicai; Hu, Zhichao; Huang, Tao; Niu, Yupeng; Zhang, Xinche; Ma, Shanwu; Lin, Chutong; Huat, Goh Kim; Kwon, Hyeokkoo Eric; Gao, Feng; Sun, Xianfu; Ying, Zhitao; Qiang, Guangliang

Optimizing Surgery Strategies in Stage IB Lung Squamous Cell Carcinoma: Insights from Interpretable Machine Learning

优化IB期肺鳞状细胞癌的手术策略:来自可解释机器学习的启示

Ding, Qunzhe; Lin, Chutong; Lam, Yatsu; Guo, Fuxin; Ma, Shanwu; Qiang, Guangliang

[Safety and Clinical Benefit Analysis of No-chest-tube Strategy After Uniportal Video-assisted Thoracoscopic Pulmonary Wedge Resection Based on Propensity Score Matching]

[基于倾向评分匹配的单孔胸腔镜辅助肺楔形切除术后无胸管策略的安全性和临床获益分析]

Lin, Chutong; Ning, Yingze; Ma, Shanwu; Tang, Jizheng; Jin, Liang; He, Wei; He, Huayu; Qiang, Guangliang

The novel thioredoxin reductase inhibitor butaselen suppresses lung cancer by inducing oxidative stress.

新型硫氧还蛋白还原酶抑制剂布他硒通过诱导氧化应激来抑制肺癌。

Chen Yifan, Qiang Guangliang, Jin Liang, Sun Yan, Zhang Guozhou, Hu Fengling, Feng Jinhui, Wei Feng, Zeng Shengxin, Xue Lixiang, Zeng Huihui, Ma Shaohua

miR-17-5p is highly expressed in patients with lung cancer and promoted lung cancer by targeting SIK1.

miR-17-5p 在肺癌患者中高表达,并通过靶向 SIK1 促进肺癌发展

Chen Xiaoyan, Su Shanna, Liu Jingyi, Zhang Dong, Qiang Guangliang

Tanshinone IIA affects the proliferation of A549/Tax by affecting the expression of MMP7 through the PI3K-AKT-mTOR signaling pathway.

丹参酮 IIA 通过 PI3K-AKT-mTOR 信号通路影响 MMP7 的表达,从而影响 A549/Tax 细胞的增殖

Chen Fangjun, Xiang Wenqiong, Qiang Guangliang

The Relationship Between Hypothyroidism and Pneumonia and Possible Prevention and Treatment Measures.

甲状腺功能减退与肺炎的关系及可能的预防和治疗措施

Hao Yang, Zheng Hanyu, Xiang Wenqiong, Chen Fangjun, Qiang Guangliang

The value of fibrosis score and (18)F-FDG by positron emission tomography-computed tomography in lung cancer patients with interstitial lung disease

肺纤维化评分和正电子发射断层扫描-计算机断层扫描(PET-CT)测定的(18)F-FDG在肺癌合并间质性肺疾病患者中的价值

Xu, Rui; Yin, Lijie; Qiang, Guangliang; Fu, Liping

DSEception: a noval neural networks architecture for enhancing pneumonia and tuberculosis diagnosis

DSEception:一种用于增强肺炎和结核病诊断的新型神经网络架构

Li, Shengyi; Hu, Yue; Yang, Lexin; Lv, Baohua; Kong, Xue; Qiang, Guangliang

Advancing NSCLC pathological subtype prediction with interpretable machine learning: a comprehensive radiomics-based approach

利用可解释的机器学习方法推进非小细胞肺癌病理亚型预测:一种基于放射组学的综合方法

Kuang, Bingling; Zhang, Jingxuan; Zhang, Mingqi; Xia, Haoming; Qiang, Guangliang; Zhang, Jiangyu