Zhao, Jianli
Sun, Zhixian
Yu, Yunfang
Yuan, Zhongyu
Lin, Ying
Tan, Yujie
Duan, Xiaohui
Yao, Herui
Wang, Ying
Liu, Jieqiong https://orcid.org/0000-0001-7859-3764
Clinical trials referenced in this document:
Documents that mention this clinical trial
Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study
https://doi.org/10.1136/jitc-2022-006514
Efficacy and safety of camrelizumab combined with apatinib in advanced triple-negative breast cancer: an open-label phase II trial
https://doi.org/10.1136/jitc-2020-000696
Documents that mention this clinical trial
Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study
https://doi.org/10.1136/jitc-2022-006514
Documents that mention this clinical trial
Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study
https://doi.org/10.1136/jitc-2022-006514
Efficacy and safety of camrelizumab combined with apatinib in advanced triple-negative breast cancer: an open-label phase II trial
https://doi.org/10.1136/jitc-2020-000696
Documents that mention this clinical trial
Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study
https://doi.org/10.1136/jitc-2022-006514
Funding for this research was provided by:
National Natural Science Foundation of China (82071754)
National Natural Science Foundation of China (82072906)
National Natural Science Foundation of China (82102865)
National Natural Science Foundation of China (82271793)
the grants from the Sun Yat-sen Clinical Research Cultivating Program of Sun Yat-sen Memorial Hospital, Sun Yat-sen University (SYS-5010-202308)
the grants from the Sun Yat-sen Clinical Research Cultivating Program of Sun Yat-sen Memorial Hospital, Sun Yat-sen University (SYS-C-202003)
the grants from the Sun Yat-sen Clinical Research Cultivating Program of Sun Yat-sen Memorial Hospital, Sun Yat-sen University (SYS-Q-202101)
the grand from Guangzhou Science and Technology Plan Project (2023A03J0719)
the grant from GuangDong Basic and Applied Basic Research Foundation (2023A1515012412, 2023A1515011214)
the grant from Guangzhou Science and Technology Plan Project (2023A03J0722, 202206010078, 202201020574)