Liu, Mimi
Luo, Jinni
Li, Lin
Pan, Xuemei
Tan, Shuyan
Ji, Weidong
Zhang, Hongzheng
Tang, Shengsheng
Liu, Jingjing
Wu, Bin
Chen, Zebin
Wu, Xiaoying
Funding for this research was provided by:
Key Technologies Research and Development Program (No. 2022YFC3601601)
Key Technologies Research and Development Program (No. 2022YFC3601603)
Key Technologies Research and Development Program (No. 2021YFC2009400)
the Three Major Construction Projects of Sun Yat-sen University-Forward Cultivation Project for National Key Research and Development Program of China (No. 82000-18843404)
National Natural Science Foundation of China (No. 61876194)
National Natural Science Foundation of China (No. 11661007)
Key Research and Development Program of Guangdong Province (No. 2018B010109006)
Science and Technology Innovation Special Project of Guangdong Province (No. 202011020004)
Natural Science Foundation of Guangdong Province (No. 2021A1515011897)
Science and Technology Program of Guangzhou (No. 202206010028)
Article History
Received: 20 November 2022
Accepted: 4 January 2023
First Online: 30 January 2023
Declarations
:
: The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
: This study designed and developed a disease-specific clinical database system that strictly ensured the data security and privacy protection of patients using many technologies. No individual patient’s data are disclosed within this manuscript in any form.