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Optimized dose selective HDAC inhibitor tucidinostat overcomes anti-PD-L1 antibody resistance in experimental solid tumors 期刊论文
BMC Medicine, 2022, 卷号: 20, 期号: 1
作者:  Zhang,Pei;  Du,Yang;  Bai,Hua;  Wang,Zhijie;  Duan,Jianchun;  Wang,Xin;  Zhong,Jia;  Wan,Rui;  Xu,Jiachen;  He,Xiran;  Wang,Di;  Fei,Kailun;  Yu,Ruofei;  Tian,Jie;  Wang,Jie
收藏  |  浏览/下载：183/0  |  提交时间：2022/11/21
Tucidinostat  Tumor microenvironment  PD-L1  CCL5  Solid tumor  
Peptidic microarchitecture-trapped tumor vaccine combined with immune checkpoint inhibitor or PI3K gamma inhibitor can enhance immunogenicity and eradicate tumors 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2022, 卷号: 10, 期号: 2, 页码: 13
作者:  Du, Yang;  Liu, Ye;  Wang, Di;  Bai, Hua;  Wang, Zhijie;  He, Xiran;  Zhang, Pei;  Tian, Jie;  Wang, Jie
收藏  |  浏览/下载：205/0  |  提交时间：2022/06/06
immunotherapy  immunogenicity  vaccine  tumor microenvironment  lymphocytes  tumor infiltrating  macrophages  
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载：243/52  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：301/52  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：290/46  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
Upfront metronomic chemotherapy synergizes with immunotherapy to optimize chemoimmunotherapy in squamous cell lung carcinoma 期刊论文
CANCER RESEARCH, 2020, 卷号: 80, 期号: 16, 页码: 2
作者:  He, Xi-Ran;  Du, Yang;  Jin, Yu-Shen;  Bai, Hua;  Tian, Jie;  Wang, Jie
收藏  |  浏览/下载：119/0  |  提交时间：2021/03/29
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2020, 卷号: 56, 期号: 2, 页码: 11
作者:  Wang, Shuo;  Zha, Yunfei;  Li, Weimin;  Wu, Qingxia;  Li, Xiaohu;  Niu, Meng;  Wang, Meiyun;  Qiu, Xiaoming;  Li, Hongjun;  Yu, He;  Gong, Wei;  Bai, Yan;  Li, Li;  Zhu, Yongbei;  Wang, Liusu;  Tian, Jie
收藏  |  浏览/下载：207/0  |  提交时间：2020/09/21
Multiparametric MRI Radiomic Model for Preoperative Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 10
作者:  Li, Qiong;  Liu, Yu-jia;  Dong, Di;  Bai, Xu;  Huang, Qing-bo;  Guo, Ai-tao;  Ye, Hui-yi;  Tian, Jie;  Wang, Hai-yi
收藏  |  浏览/下载：307/0  |  提交时间：2020/06/22
renal cell carcinoma  nuclear grade  radiomic  magnetic resonance imaging  
Upfront dose-reduced chemotherapy synergizes with immunotherapy to optimize chemoimmunotherapy in squamous cell lung carcinoma 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 卷号: 8, 期号: 2, 页码: 15
作者:  He, Xiran;  Du, Yang;  Wang, Zhijie;  Wang, Xin;  Duan, Jianchun;  Wan, Rui;  Xu, Jiachen;  Zhang, Pei;  Wang, Di;  Tian, Yanhua;  Han, Jiefei;  Fei, Kailun;  Bai, Hua;  Tian, Jie;  Wang, Jie
收藏  |  浏览/下载：230/0  |  提交时间：2021/01/06
drug therapy  combination  immunotherapy  lung neoplasms  lymphocytes  tumor-infiltrating  translational medical research  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：433/115  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning