Showing results (41-50 of 63) with videos related to
Sort By:
Pageof 7
Arthritis Research & Therapy|April 17, 2024
Osteoarthritis and hypertension: observational and Mendelian randomization analysesZhi-Jie Yang, Yuan Liu, Yan-Li Liu, et al.Lipids in Health and Disease|November 20, 2019
LncRNA SNHG8 is identified as a key regulator of acute myocardial infarction by RNA-seq analysisLiu-An Zhuo, Yi-Tao Wen, Yong Wang, et al.Plant Disease|September 5, 2023
Transcriptome and Hormonal Analysis of <i>Agaricus bisporus</i> Basidiome Response to <i>Hypomyces perniciosus</i> InfectionChun-Lan Zhang, Odeshnee Naicker, Bo Zhang, et al.European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|August 8, 2018
Development and validation of a nomogram for predicting survival in patients with gastrointestinal stromal tumoursWei Song, Chang-Guang Lv, Dong-Liu Miao, et al.Scientific Reports|December 5, 2019
A novel circRNA-miRNA-mRNA network identifies circ-YOD1 as a biomarker for coronary artery diseaseLiu Miao, Rui-Xing Yin, Qing-Hui Zhang, et al.Cancer Management and Research|June 27, 2018
A nomogram to predict overall survival for biliary tract cancerWei Song, Zhi-Gang Zhu, Qiong Wu, et al.Nutrition, Metabolism, and Cardiovascular Diseases : NMCD|May 15, 2024
Identification of potential therapeutic targets for plaque vulnerability based on an integrated analysisLiu Miao, Yue-Ai Qin, Zhi-Jie Yang, et al.Frontiers in Cardiovascular Medicine|December 3, 2025
Construction of diagnostic and prognostic models for premature coronary artery disease based on multiple machine algorithmsYu-Chan He, Ye Li, Xiu-Jin Qin, et al.Frontiers in Cardiovascular Medicine|September 26, 2024
Exploring the predictive values of CRP and lymphocytes in coronary artery disease based on a machine learning and Mendelian randomizationYuan Liu, Xin Yuan, Yu-Chan He, et al.BMC Complementary Medicine and Therapies|June 12, 2023
Mechanism of salidroside against coronary artery disease by network pharmacology analysisLin Tao, Zhi-Fang Liang, Liu Miao, et al.Pageof 7