M
Ming Xu
Researcher at Centers for Disease Control and Prevention
Publications - 29
Citations - 344
Ming Xu is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 9, co-authored 19 publications receiving 204 citations. Previous affiliations of Ming Xu include Chinese Center for Disease Control and Prevention & Soochow University (Suzhou).
Papers
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Journal ArticleDOI
Effects of glyphosate exposure on sperm concentration in rodents: A systematic review and meta-analysis
Wenyan Cai,Ying Ji,Xianping Song,Haoran Guo,Lei Han,Feng Zhang,Xin Liu,Hengdong Zhang,Baoli Zhu,Ming Xu +9 more
TL;DR: The results of meta-analysis support the hypothesis that glyphosate exposure decreased sperm concentration in rodents and conclude that glyphosate is toxic to male rodent's reproductive system.
Journal ArticleDOI
Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach.
Ming Xu,Liu Ouyang,Lei Han,Kai Sun,Tingting Yu,Qian Li,Hua Tian,Lida Safarnejad,Hengdong Zhang,Yue Gao,Forrest Sheng Bao,Yuanfang Chen,Patrick Robinson,Yaorong Ge,Baoli Zhu,Jie Liu,Shi Chen +16 more
TL;DR: Wang et al. as discussed by the authors proposed a hybrid deep learning-machine learning framework to detect patients with COVID-19 using low-dimensional clinical and lab testing data, as well as high-dimensional computed tomography imaging data.
Journal ArticleDOI
Prevalence of hypertension and noise-induced hearing loss in Chinese coal miners.
Jing Liu,Ming Xu,Lu Ding,Hengdong Zhang,Liping Pan,Qingdong Liu,Ding Enming,Qiuni Zhao,Boshen Wang,Lei Han,Dandan Yang,Baoli Zhu +11 more
TL;DR: The occupational noise had an effect on the hypertension and hearing loss of Chinese coal miners and the occupational noise was an independent risk factor for hypertension and could increase the values of systolic and diastolic blood pressure.
Journal ArticleDOI
An Interpretable Machine Learning Framework for Accurate Severe vs Non-severe COVID-19 Clinical Type Classification
Yuanfang Chen,Liu Ouyang,Sheng Bao,Qian Li,Lei Han,Hengdong Zhang,Baoli Zhu,Ming Xu,Jie Liu,Yaorong Ge,Shi Chen +10 more
TL;DR: It is suggested that symptoms and comorbidities can be used as an initial screening tool for triaging, while biochemistry and features combined are applied when accuracy is the priority.
Journal ArticleDOI
Correlations between lncRNA-SOX2OT polymorphism and susceptibility to breast cancer in a Chinese population
Xiuwu Tang,Yan Gao,Yan Gao,Linxiang Yu,Yan Lu,Yan Lu,Guanglin Zhou,Lifang Cheng,Kai Sun,Baoli Zhu,Ming Xu,Ming Xu,Jingjing Liu +12 more
TL;DR: It is confirmed that BC was conspicuously associated with higher SOX2OT expression and its SNP was significantly associated with the onset of BC possibly via influencing the expression of SOx2OT.