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Lv, Axing (吕阿兴)
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M.P.H. Student,
Epidemiology and Biostatistics, school of public health, Peking University
Beijing, China
E-mail: axing_lv@163.com
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About me
I received the B.M. degree from the Peking University, in 2025.
I am currently pursuing a M.P.H. at Peking University, China.
My research interests focus on epidemiology in chronic diseases, including cardiovascular, hepatic and
diabetic diseases.I am also dedicated to AI or machine learning for digital health, biostatistics and
developing applications for clinical practice.
Research
Research interests
Working papers
Under review
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Body Roundness Index and MASLD risk and long-term follow-up outcomes among the general population
worldwide
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Adherence to Life's Essential 8 and long-term cardiovascular outcomes and mortality in MASLD: findings
from three prospective cohorts
Recent publications
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吕阿兴#,丛雪,孙点剑一,余灿清,吕筠,李立明,庞元捷*.基于机器学习的慢性肝脏疾病预测模型研究进展(Machine learning for chronic liver disease
prediction: a literature review)[J].中国慢性病预防与控制,2026,34(02):139-146.[pdf]
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Wen J, Lv A, Aihemaitijiang S, Li H, Zhou Y*, Liu J. The association of maternal gestational
weight gain with cardiometabolic risk factors in offspring: a systematic review and meta-analysis. Nutr
Rev. 2025 Feb 1;83(2):e106-e115(IF = 4.9). [pdf]
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北京大学. 基于蛋白质组的慢性肝脏疾病发病预测的蛋白组合、预测模型及应用:CN202511885546.4[P]. 2026-01-13.
Note: # indicates the first/co-first author; * indicates the corresponding author.
Full
list of publications in Google Scholar.
Projects
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04.2023-03.2024, Effect of metformin on clinical outcomes of patients with chronic airway
inflammatory diseases: a real-world study, Parental affection plan project, School of Public Health,
Peking University
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01.2025-06.2025, A study on cardiovascular disease prediction models in Chinese adults with type 2
diabetes mellitus, Undergraduate graduation project, School of Public Health, Peking University
Education
M.P.H., Epidemiology and Biostatistics, Peking University,
09.2025-current
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Main Courses: Epidemiological statistical methods, Generalized linear model, Multivariate analysis, Basis
of Python Programming in Health Data Science, Foundations of machine learning for healthcare.
B.M., Public Health and Preventive Medicine, Peking University, 09.2020
- 06.2025
Work experience
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