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Yongjun Wu

Biographic Data

ID7308438
NAMEYongjun Wu
GIVEN NAMESYongjun
FAMILY NAMEWu
SIGNATUREWU Y
AFFILIATIONSHunan University of Traditional Chinese Medicine
ORCID0000-0002-1212-6511
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Liver Lipidomics Analysis Revealed the Protective mechanism of Zuogui Jiangtang Qinggan Formula in type 2 diabetes mellitus with non-alcoholic fatty liver disease

    Open Access•Min Zhou, Xiu Liu et al.•ARTICLE•Journal of Ethnopharmacology•2024

    Liver lipidomics analysis combined with protein verification further demonstrated that ZGJTQGF could ameliorate the lipid disturbance of TG, DG, PC, PE in T2DM with NAFLD, as well as improve fatty acid and cholesterol synthesis and metabolism through De novo lipogenesis pathway

  • Machine learning-assisted prediction of pneumonia based on non-invasive measures

    Open Access•Clement Yaw Effah, Ruoqi Miao et al.•ARTICLE•Frontiers in Public Health•2022

    Background: non-invasive measures such as physical and laboratory parameters is gaining momentum and has been proposed to decrease diagnostic uncertainty associated with bacterial pneumonia. Herein, this study conducted several experiments using eight machine learning models to predict pneumonia based on biomarkers, laboratory parameters, and physical features. Methods: We perform machine-learning analysis on 535 different patients, each with 45 …

  • Polymorphism in the Androgen Biosynthesis Gene (CYP17), a Risk for Prostate Cancer

    Open Access•Clement Yaw Effah, Ling Wang et al.•ARTICLE•American Journal of Men s Health•2020

    Gene polymorphism is one of the few factors that increases the risk of prostate cancer. T to C substitution in the 5’ promoter region of the CYP17 gene is hypothesized to increase the rate of gene transcription, increase androgen production, and thereby increase the risk of prostate cancer. Nevertheless, the inconsistencies originating from studies on CYP17 polymorphism and prostate cancer prompted this meta-analysis, to decipher the association …

No prominent works on this page.

  • Polymorphism in the Androgen Biosynthesis Gene (CYP17), a Risk for Prostate Cancer

    Open Access•Clement Yaw Effah, Ling Wang et al.•ARTICLE•American Journal of Men s Health•2020

    Gene polymorphism is one of the few factors that increases the risk of prostate cancer. T to C substitution in the 5’ promoter region of the CYP17 gene is hypothesized to increase the rate of gene transcription, increase androgen production, and thereby increase the risk of prostate cancer. Nevertheless, the inconsistencies originating from studies on CYP17 polymorphism and prostate cancer prompted this meta-analysis, to decipher the association …

  • Machine learning-assisted prediction of pneumonia based on non-invasive measures

    Open Access•Clement Yaw Effah, Ruoqi Miao et al.•ARTICLE•Frontiers in Public Health•2022

    Background: non-invasive measures such as physical and laboratory parameters is gaining momentum and has been proposed to decrease diagnostic uncertainty associated with bacterial pneumonia. Herein, this study conducted several experiments using eight machine learning models to predict pneumonia based on biomarkers, laboratory parameters, and physical features. Methods: We perform machine-learning analysis on 535 different patients, each with 45 …

  • Liver Lipidomics Analysis Revealed the Protective mechanism of Zuogui Jiangtang Qinggan Formula in type 2 diabetes mellitus with non-alcoholic fatty liver disease

    Open Access•Min Zhou, Xiu Liu et al.•ARTICLE•Journal of Ethnopharmacology•2024

    Liver lipidomics analysis combined with protein verification further demonstrated that ZGJTQGF could ameliorate the lipid disturbance of TG, DG, PC, PE in T2DM with NAFLD, as well as improve fatty acid and cholesterol synthesis and metabolism through De novo lipogenesis pathway

Internal Medicine (2 works) · Medicine (2 works) · Alcohol Consumption and Health Effects (1 works) · Artificial Intelligence (1 works) · Biochemistry (1 works) · Biology (1 works) · Computer Science (1 works) · COVID-19 diagnosis using AI (1 works) · Disease (1 works) · Endocrinology (1 works)

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