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pro vyhledávání: '"Changqing Pan"'
Akademický článek
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Autor:
Shi Shang, Junyi Yuan, Changqing Pan, Sufen Wang, Xuemin Tu, Xingxing Cen, Linhui Mi, Xumin Hou
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Non-small cell lung cancer (NSCLC) is a malignant tumor that threatens human life and health. The development of a new NSCLC risk assessment model based on electronic medical records has great potential for reducing the risk of cancer recurr
Externí odkaz:
https://doaj.org/article/2e03b52b66574e57aa227bb05bc2479e
Autor:
You Zhai, Yicong Du, Guanzhang Li, Mingchen Yu, Huimin Hu, Changqing Pan, Di Wang, Zhongfang Shi, Xu Yan, Xuesong Li, Tao Jiang, Wei Zhang
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 8, Iss 1, Pp 1-12 (2023)
Abstract Chimeric antigen receptor (CAR) T-cell therapy has demonstrated clinical response in treating both hematologic malignancies and solid tumors. Although instances of rapid tumor remissions have been observed in animal models and clinical trial
Externí odkaz:
https://doaj.org/article/6e9d1092f49a44b8a0598fb35f2b5bf1
Autor:
Xin Shi, Xuening Dang, Zhenyu Huang, Yanqiao Lu, Huan Tong, Feng Liang, Fei Zhuang, Yi Li, Zhaohua Cai, Huanhuan Huo, Zhaolei Jiang, Changqing Pan, Xia Wang, Chang Gu, Ben He
Publikováno v:
Advanced Science, Vol 11, Iss 12, Pp n/a-n/a (2024)
Abstract Pathological cardiac hypertrophy is the leading cause of heart failure and has an extremely complicated pathogenesis. TEA domain transcription factor 1 (TEAD1) is recognized as an important transcription factor that plays a key regulatory ro
Externí odkaz:
https://doaj.org/article/25f11daacce947a7b90b8c8488e2c04d
Autor:
Rong Li, Lan Shen, Wenyan Ma, Linfeng Li, Bo Yan, Yuna Wei, Yao Wang, Changqing Pan, Junyi Yuan
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background Radiofrequency ablation (RFA) for atrial fibrillation (AF) is associated with a risk of complications. This study aimed to develop and validate risk models for predicting complications after radiofrequency ablation of atrial fibri
Externí odkaz:
https://doaj.org/article/d9c66a9dc5af42e69f137588ab5b17e4
Autor:
Chen Wang, Di Wang, Changqing Pan, Jiazheng Zhang, Cheng Cheng, You Zhai, Mingchen Yu, Zhiliang Wang, Guanzhang Li, Wei Zhang
Publikováno v:
Chinese Neurosurgical Journal, Vol 8, Iss 1, Pp 1-6 (2022)
Abstract Background Diagnosis and treatment of patients with glioblastoma (GBM) who are also diagnosed with primary non-central nervous system (CNS) tumors remain a challenge, yet little is known about the clinical characteristics and prognosis of th
Externí odkaz:
https://doaj.org/article/66c6504ed34c4cca9858a7172428214f
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 10, Pp 9825-9841 (2022)
Cardiac arrest (CA) is a fatal acute event. The development of new CA early warning system based on time series of vital signs from electronic health records (EHR) has great potential to reduce CA damage. In this process, recursive architecture-based
Externí odkaz:
https://doaj.org/article/3f58ea834a7c47af98907d021dd887c3
Autor:
Grace S. Li, Lichang Liu
Publikováno v:
Shanghai Chest. 1:2-2
In 2016, Professor Changqing Pan ( Figure 1 ) shouldered the crossbeam of Shanghai Chest Hospital. Serving in the hospital for more than a year, he used his double decades of experience as a doctor to carry through a simple doctor’s vision, and to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0bcc5b41ea4e044256aa5edcba93b53
https://doi.org/10.21037/shc.2017.05.02
https://doi.org/10.21037/shc.2017.05.02
Publikováno v:
Heliyon, Vol 8, Iss 9, Pp e10312- (2022)
Background: Activating prior medical knowledge in diagnosis and treatment is an important basis for clinicians to improve their care ability. However, it has not been systematically explained whether and how various big data resources affect the acti
Externí odkaz:
https://doaj.org/article/5d20bad0f5cc4d4c825cf748cb948da4
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 4, p e32776 (2022)
BackgroundThe application of big data resources and the development of medical collaborative networks (MCNs) boost each other. However, MCNs are often assumed to be exogenous. How big data resources affect the emergence, development, and evolution of
Externí odkaz:
https://doaj.org/article/c72d7ef00371409fbe00cdb36e0774ac