PEI Zhengcun
Title/Position:Associate professor
Research Areas:Research areas include epidemiology and population big data, medical endoscopic image analysis and AI modeling, vaccine effectiveness studies, recognition and processing of medical signals, disease prediction models, Meta-analysis, etc. (Undergraduate, master’s and doctoral students interested in population data are welcome to join. We maintain long-term collaborations with research groups at Peking University and have access to multi-regional healthcare data resources in China. Our research leverages population big data to address and resolve clinical scientific questions.)
Email:peizhengcun@tju.edu.cn
Brief Introduction:
Pei Zhengcun, Associate Professor at the Medical School, Tianjin University, and supervisor for master’s and doctoral students.
I am sincerely recruiting new students. The research group features a relaxed academic atmosphere, and I am easy to communicate and get along with. Self-disciplined students with strong execution capability are highly welcome.
Academic Achievements:
1. Wang X, Peng Z, Du J, Wang X, He S, Zhang S, Li Y, Zhang Q, Shi L, Yang D, Li D, Xu Y, Wu X, Wang W, Gao L, Li J, Pei Z. Calculation and evaluation of the effective withdrawal time of colonoscopy on the basis of internimage. BMC Gastroenterol. 2026 Apr 22;26(1):344. doi: 10.1186/s12876-026-04826-1.
2. Yang L, Li J, Wang X, Yu X, Pei Z. Efficacy and safety of cadonilimab combined with chemotherapy for gastric or gastroesophageal junction adenocarcinoma: a single-arm meta-analysis. Front Immunol. 2026 Feb 18;17:1693179. doi: 10.3389/fimmu.2026.1693179.
3. Mao X, Wang X, Fang T, Zhang X, Yang J, Gào X, Pei Z, Lu Y, Zhan S, Xu G, Liu Z. The disparity and trend of childhood cancer burden in survival perspective: a systematic analysis for the global burden of disease 2021. Int J Surg. 2026 Feb 3;112(4):9189–202. doi: 10.1097/JS9.0000000000004775. Epub ahead of print.
4. Peng Z, Wang X, Li J, Sun J, Wang Y, Li Y, Li W, Zhang S, Wang X, Pei Z. Comparative bibliometric analysis of artificial intelligence-assisted polyp diagnosis and AI-assisted digestive endoscopy: trends and growth in AI gastroenterology (2003-2023). Front Med (Lausanne). 2024 Sep 18;11:1438979. doi: 10.3389/fmed.2024.1438979.
5. Li J, Peng Z, Wang X, Zhang S, Sun J, Li Y, Zhang Q, Shi L, Li H, Tian Z, Feng Y, Mu J, Tang N, Wang X, Li W, Pei Z. Development and validation of a novel colonoscopy withdrawal time indicator based on YOLOv5. J Gastroenterol Hepatol. 2024 Aug;39(8):1613-1622. doi: 10.1111/jgh.16596. Epub 2024 May 6.
6. Ren Y, Shi L, Xie Y, Wang C, Zhang W, Wang F, Sun H, Huang L, Wu Y, Xing Z, Ren W, Heinrich J, Wu Q, Pei Z. Course and clinical severity of the SARS-CoV-2 Omicron variant infection in Tianjin, China. Medicine (Baltimore). 2023 Sep 22;102(38):e34669. doi: 10.1097/MD.0000000000034669.
7. Wu Q, Shi L, Li H, Huang S, Li H, Li L, Han J, Wu Q, Pei Z. Viral RNA Load in Symptomatic and Asymptomatic COVID-19 Omicron Variant-Positive Patients. Can Respir J. 2022 Aug 29;2022:5460400. doi: 10.1155/2022/5460400.
8. Sun Y, Li H, Pei Z, Wang S, Feng J, Xu L, Gao P, Cao B, Zhan S. Incidence of community-acquired pneumonia in urban China: A national population-based study. Vaccine. 2020 Dec 14;38(52):8362-8370. doi: 10.1016/j.vaccine.2020.11.004. Epub 2020 Nov 13.
9. Sun Y, Pei Z, Zhao H, Li L, Hu Y, Zhang L, Wang L, Yang Y, Huang T, Zhan S; China Cohort Consortium study group. Data Resource Profile: China Cohort Consortium (CCC). Int J Epidemiol. 2020 Oct 1;49(5):1436-1436m. doi: 10.1093/ije/dyaa102.
10. Pei Z, Sun Y, Wang S, Chen Y, Yang T, Huang K, Zhang Y, Huang Y, Wang C, Zhan S. Estimating mortality among inpatients with acute exacerbation of chronic obstructive pulmonary disease using registry data. NPJ Prim Care Respir Med. 2020 Jun 16;30(1):28. doi: 10.1038/s41533-020-0186-y.
