Showing results (401-410 of 550) with videos related to
Sort By:
Pageof 55
Plos One|November 9, 2011
Accuracy and cut-off values of pepsinogens I, II and gastrin 17 for diagnosis of gastric fundic atrophy: influence of gastritisDariush Nasrollahzadeh, Karim Aghcheli, Masoud Sotoudeh, et al.Ebiomedicine|September 30, 2023
Oral fungal profiling and risk of nasopharyngeal carcinoma: a population-based case-control studyYufeng Chen, Wanxin Li, Ellen T Chang, et al.Ecotoxicology and Environmental Safety|January 14, 2023
Sperm mitochondrial DNA copy number mediates the association between seminal plasma selenium concentrations and semen quality among healthy menHeng-Gui Chen, Bin Sun, Fuxin Lin, et al.International Journal of Cancer|January 7, 2021
Plasma protein biomarkers for early detection of pancreatic ductal adenocarcinomaJingru Yu, Alexander Ploner, Maximilian Kordes, et al.Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|August 11, 2020
Lifestyle, multi-omics features, and preclinical dementia among Chinese: The Taizhou Imaging StudyYanfeng Jiang, Mei Cui, Weizhong Tian, et al.Frontiers in Cardiovascular Medicine|March 25, 2024
The ratio of systolic and diastolic pressure is associated with carotid and femoral atherosclerosisYuanping Wang, Cheng Chen, Qiaofen Lin, et al.Journal of Alzheimer'S Disease : JAD|April 23, 2019
Total Cerebral Small Vessel Disease Burden Is Related to Worse Performance on the Mini-Mental State Examination and Incident Dementia: A Prospective 5-Year Follow-UpYanfeng Jiang, Yingzhe Wang, Ziyu Yuan, et al.Aging|February 12, 2020
Cerebral small vessel disease is associated with gait disturbance among community-dwelling elderly individuals: the Taizhou imaging studyPeixi Li, Yingzhe Wang, Yanfeng Jiang, et al.Aging|April 5, 2021
Tumor infiltrating lymphocyte signature is associated with single nucleotide polymorphisms and predicts survival in esophageal squamous cell carcinoma patientsChen Suo, Huiyao Chen, Franciszek Binczyk, et al.BMC Public Health|November 26, 2024
The use of machine and deep learning to model the relationship between discomfort temperature and labor productivity loss among petrochemical workersYilin Zhang, Yifeng Chen, Qingling Su, et al.Pageof 55