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Annals of Palliative Medicine|September 23, 2021
Development of SAB model for predicting mortality in intensive care unit after aortic aneurysm surgeryKai Huang, Runnan Shen, Senyi Peng, et al.
Perfusion|May 19, 2020
A retrospective analysis of risk factors associated with catheter-related thrombosis: a single-center studyXuezhen Zhou, Xi Lin, Runnan Shen, et al.
Metabolism: Clinical and Experimental|December 10, 2025
Metabolomic aging clock predicts risk of different cardiovascular diseases in the UK BiobankGuochang You, Kangjie Wang, Runnan Shen, et al.
BMC Cardiovascular Disorders|January 7, 2021
Prognostic nomogram for 30-day mortality of deep vein thrombosis patients in intensive care unitRunnan Shen, Ming Gao, Yangu Tao, et al.
BMC Cardiovascular Disorders|July 18, 2023
Leisure sedentary behaviour increases the risk of venous thromboembolism: a Mendelian randomisation studyLiang Chen, Guochang You, Zhenmei Yang, et al.
Frontiers in Cardiovascular Medicine|October 3, 2022
Machine learning-based prediction of the post-thrombotic syndrome: Model development and validation studyTao Yu, Runnan Shen, Guochang You, et al.
Iscience|July 1, 2024
Drug repurposing opportunities for chronic kidney diseaseXiong Chen, Runnan Shen, Dongxi Zhu, et al.
Cardiovascular Diabetology|June 17, 2026
Integration of triglyceride-glucose index and biological aging to predict cardiovascular disease risk in cardiovascular-kidney-metabolic syndrome stages 0-3: a multiple prospective cohort studyRunnan Shen, Pinrong Dong, Shuxiang Fang, et al.
Nutrition, Metabolism, and Cardiovascular Diseases : NMCD|June 1, 2026
Construction of precision clinical-proteomics risk model based on machine learning for predicting heart failure in type II diabetes mellitusRunnan Shen, Chaoyu Xie, Yechao Huang, et al.
Journal of Translational Medicine|April 29, 2025
Modifiable factors affects cancer-specific survival: findings from a large population-based prospective cohort studyXiong Chen, Dongxi Zhu, Chenchen Li, et al.
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