成员介绍-左藤

研究领域(方向)

医学人工智能与多模态大语言模型、数字公共卫生、泌尿系肿瘤机制研究

教育经历

2022.08-至今,中国医科大学附属第四医院,泌尿外科学学术型硕士研究生
2017.09-2022.06,福建医科大学,五年制临床医学本科

学术任职

(1)期刊杂志
2025.04-至今,Social Science & Medicine,Reviewer
2022.09-至今,Frontiers in Nephrology,Topic Coordinator

(2)学术团体
2024.01-至今,Chinese Social Media Infodemic Database,主要成员
2020.01-至今,Gmade Studio,Director

期刊文章

[6] Zuo, T., He, L., Zheng, Y., Lin, Z., Xu, Z., Li, N., Communication Analysis of
the COVID-19 Infodemic by Medical Practitioners in China: A Mixed Methods Study, Social Science &
Medicine, https://doi.org/10.1016/j.socscimed.2025.118051
[5] Zheng, Y., Ren, R., Zuo, T., Chen, X., Li, H., Xie, C., Weng, M., He, C., Xu, M., Wang, L., Li, N., & Li, X. (2024). Prediction of early-phase cytomegalovirus pneumonia in post-stem cell transplantation using a deep learning model. Technology and health care : official journal of the European Society for Engineering and Medicine, 10.3233/THC-240597. Advance online publication. https://doi.org/10.3233/THC-240597
[4] Zuo, T., Zheng, Y., He, L., Chen, T., Zheng, B., Zheng, S., You, J., Li, X., Liu, R., Bai, J., Si, S., Wang, Y., Zhang, S., Wang, L., & Chen, J. (2021). Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning. Frontiers in oncology, 11, 746750. https://doi.org/10.3389/fonc.2021.746750
[3] Zheng, S., Li, X., Deng, T., Liu, R., Bai, J., Zuo, T., Guo, Y., & Chen, J. (2021). KPNA2 promotes renal cell carcinoma proliferation and metastasis via NPM. Journal of cellular and molecular medicine, 25(19), 9255–9267. https://doi.org/10.1111/jcmm.16846
[2] Chen, J., Ye, W., Jiang, W., Li, X., Liu, R., Lin, B., Xiang, J., Tian, W., Bai, J., Zuo, T., Lin, B., Guo, Y., & Zheng, S. (2021). Pazopanib in patients with metastatic renal cell carcinoma: a single-center, real-world, retrospective Chinese study. Translational andrology and urology, 10(3), 1321–1331. https://doi.org/10.21037/tau-21-111
[1] 左藤, 司书鑫, 王春咏, 何鸿志, 陈剑晖.(2020). 输尿管软镜手术肾盂压力监控方法的研究进展. 国际泌尿系统杂志, 2022,42(4):743-746. https://doi.org/10.3760/cma.j.cn431460-20200423-00202

会议论文

[2] Zuo T., He L., He L., Zheng Y., Tang L., Hu S., Li N. (2024). Analysis of the Urological Misinformation by Medical Practitioners in China. The 31th Annual Meeting of the Chinese Urological Association (CUA2024),  Chinese Medical Association, Tianjin, China.
[1] Zuo T., Zheng Y., He, L., Zheng S., You J., Wang L., Chen J. (2022). Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Unbalanced Computed Tomography Imaging Datasets Using Weakly Supervised Learning. The 29th Annual Meeting of the Chinese Urological Association (CUA2022),  Chinese Medical Association, Shanghai, China.

预印本

[2] Zuo, T., He, L., Lin, Z., Chen, J., Li, N. (2024) Communication Analysis of Covid-19 Infodemic by Medical Practitioners in China: A Mixed Methods Study. Preprint available at https://papers.ssrn.com/abstract=4740271
[1] Zuo, T., He, L., Lin, Z., Chen, J., Li, N. (2023) Reconsideration Reproducibility of Currently Deep Learning-Based Radiomics: Taking Renal Cell Carcinoma as an Example. Preprint available at https://papers.ssrn.com/abstract=4435866.

软件与数据集

[5] Zuo, T., He, L., Zheng, Y., Xu, Z., Lin, Z., Zheng, Y., & Li, N. (2024). Chinese Social Media Infodemic Database (CSMID) [Dataset]. Mendeley Data. https://doi.org/10.17632/df42bwxx6p.1
[4] Zuo, T., He, L., Zheng, Y., Zheng, Y., Tang, L., He, L., & Li, N. (2023). Gmade Studio Social Media Data Workstation (Version 0.1.1.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.13328068
[3] Zuo, T., He, L., Zheng, Y., & Li, N. (2023). Gmade Studio Omics Database [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.13328252
[2] Zheng, Y., He, L., Zuo, T., Xu, Z. (2023). Shiny application for image classification using deep learning neural networks (Version v1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.8248138
[1] Zuo, T., He, L., Zheng, Y., Wang, L., & Li, N. (2022). Gmade Studio Deep Learning Radiomics Workstation [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.13328172

课题项目

[3] 辽宁省自然科学基金面上项目(2024-MS-036),构建天然多糖水凝胶支架及其重建输尿管相关机制研究,2024.01-至今,成员
[2] 福建省卫生健康中青年骨干人才培养项目(2021GGA014),利用基于影像基因组学的卷积神经网络在免疫治疗时代下对肾癌行精准分子分型和疗效预测的应用研究,2021.01-2024.12,主要成员
[1] 福建省自然科学基金面上项目(2019J01153),通过调控髓源性抑制细胞(MDSCs)逆转晚期肾癌对PD-1单抗治疗耐药的实验研究,2019.01-2024.12,成员

奖项

[4] 2024年,中国医科大学硕士一等学业奖学金
[3] 2024年,2023年年度中国医科大学优秀共青团员
[2] 2023年,中国医科大学硕士三等学业奖学金
[1] 2018年,福建医科大学“三下乡”优秀调研报告 《基本医疗卫生服务改革的成效研究——基于福建省三明市的实证分析》

专业证书

2024.08, Healthcare IT Support (FP0C5TIEMZ15) – The Johns Hopkins University
2024.08, Healthcare Management and Finance (IL3R4TY0J3H1) – University of Michigan
2023.01, Microsoft Azure Data Scientist Associate (DP-100) Specialization (JUL29RBWM5YG) – Microsoft
2023.01, Palo Alto Networks Cybersecurity Specialization (JW8LQLJD4389) – Palo Alto Networks
2022.10, Google Data Analytics Specialization (ZGMB6VAT5X7F) – Google
2022.10, Google Finance Data Analyst Professional Certificate Specialization (37DJ8RFEPC6E) – Google
2022.10, Google IT Support Specialization (Z99J4LWP445R) – Google

学术与社交平台

ORCID: 0000-0001-7920-1259
Loop: 1415490
ResearchGate: Teng Zuo | ResearchGate
GitHub: TengZuo-GmadeStudio (TengZuo-Gmade) (github.com)

联系方式

电子邮箱:tzuo@cmu.edu.cn
通讯地址:辽宁省沈阳市沈北新区蒲河路79号中国医科大学专家公寓