BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

213 related articles for article (PubMed ID: 35742299)

  • 1. Screening of Serum Biomarkers of Coal Workers' Pneumoconiosis by Metabolomics Combined with Machine Learning Strategy.
    Chen Z; Shi J; Zhang Y; Zhang J; Li S; Guan L; Jia G
    Int J Environ Res Public Health; 2022 Jun; 19(12):. PubMed ID: 35742299
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Lipidomics Profiles and Lipid Metabolite Biomarkers in Serum of Coal Workers' Pneumoconiosis.
    Chen Z; Shi J; Zhang Y; Zhang J; Li S; Guan L; Jia G
    Toxics; 2022 Aug; 10(9):. PubMed ID: 36136461
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Expression of type 1 and type 2 cytokines from serum of coal miners and the evaluation in surveillance of coal workers' pneumoconiosis at earlier stage].
    Yao SQ; Yang NW; Guo FF; Qin TB; Zhu XP; Dong ZG; Li ZC; Jiang BJ; Gao JS; Yao YC; Zhang GF; Liu Y; Lu Y; Li HB; Shuai JF; Bai YP; Jin YL
    Zhonghua Yu Fang Yi Xue Za Zhi; 2018 Nov; 52(11):1158-1163. PubMed ID: 30419701
    [No Abstract]   [Full Text] [Related]  

  • 4. Efficient clinical data analysis for prediction of coal workers' pneumoconiosis using machine learning algorithms.
    Dong H; Zhu B; Kong X; Zhang X
    Clin Respir J; 2023 Jul; 17(7):684-693. PubMed ID: 37380332
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Potential Diagnostic Biomarkers for the IgG Subclass in Coal Workers' Pneumoconiosis.
    Li ZG; Li BC; Li ZW; Hu HY; Ma X; Cao H; Yu ZH; Dai HP; Wang J; Wang C
    J Immunol Res; 2023; 2023():9233386. PubMed ID: 36959921
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer-Aided Diagnosis of Coal Workers' Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review.
    Devnath L; Summons P; Luo S; Wang D; Shaukat K; Hameed IA; Aljuaid H
    Int J Environ Res Public Health; 2022 May; 19(11):. PubMed ID: 35682023
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prevalence of coal workers' pneumoconiosis in China: a systematic analysis of 2001-2011 studies.
    Mo J; Wang L; Au W; Su M
    Int J Hyg Environ Health; 2014 Jan; 217(1):46-51. PubMed ID: 23608000
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Plasma LncRNA-ATB, a Potential Biomarker for Diagnosis of Patients with Coal Workers' Pneumoconiosis: A Case-Control Study.
    Ma J; Cui X; Rong Y; Zhou Y; Guo Y; Zhou M; Xiao L; Chen W
    Int J Mol Sci; 2016 Aug; 17(8):. PubMed ID: 27556453
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Application of a light-weighted convolutional neural network for automatic recognition of coal workers' pneumoconiosis in the early stage].
    Cui FT; Wang Y; Ding XP; Yao YL; Li B; Shen FH
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2023 Mar; 41(3):177-182. PubMed ID: 37006142
    [No Abstract]   [Full Text] [Related]  

  • 10. Evaluation of nasal mucociliary functions with rhinoscintigraphy in coal workers' pneumoconiosis.
    Peksoy I; Ugur MB; Altin R; Cinar F; Uzun L; Cabuk M; Kart L
    ORL J Otorhinolaryngol Relat Spec; 2005; 67(3):163-7. PubMed ID: 15983442
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Screening and Preliminary Verification of a Phage Display Single-Chain Antibody Library Against Coal Workers' Pneumoconiosis.
    Zhang GH; Li L; Hao C; Ren JC; Zhang H; Jiao J; Gao L; Ding S; Yao S; Yao W; Wu W
    J Occup Environ Med; 2016 Dec; 58(12):1264-1269. PubMed ID: 27930489
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Serum metabolic profiling of coal worker's pneumoconiosis using untargeted lipidomics.
    Peng F; Dai J; Qian Q; Cao X; Wang L; Zhu M; Han S; Liu W; Li Y; Xue T; Chen X; Yang X; Wang J; Wang H; Li T; Ding C
    Environ Sci Pollut Res Int; 2022 Dec; 29(56):85444-85453. PubMed ID: 35796929
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Changes of serum matrix metalloproteinases-9 and tissue inhibitors of metalloproteinases-9 in coal workers' pneumoconiosis].
    Zou JM; Yuan BJ; Wang DM; Li C; Wu JY
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2010 Jan; 28(1):21-4. PubMed ID: 20426972
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Serum Osteopontin, KL-6, and Syndecan-4 as Potential Biomarkers in the Diagnosis of Coal Workers' Pneumoconiosis: A Case-Control Study.
    Hou Z; Zhang X; Gao Y; Geng J; Jiang Y; Dai H; Wang C
    Pharmgenomics Pers Med; 2023; 16():537-549. PubMed ID: 37284491
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Estimates and Predictions of Coal Workers' Pneumoconiosis Cases among Redeployed Coal Workers of the Fuxin Mining Industry Group in China: A Historical Cohort Study.
    Han B; Liu H; Zhai G; Wang Q; Liang J; Zhang M; Cui K; Shen F; Yi H; Li Y; Zhai Y; Sheng Y; Chen J
    PLoS One; 2016; 11(2):e0148179. PubMed ID: 26845337
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of high-resolution computerized tomography with film-screen radiography for the evaluation of opacity and the recognition of coal workers' pneumoconiosis.
    Xing J; Huang X; Yang L; Liu Y; Zhang H; Chen W
    J Occup Health; 2014; 56(4):301-8. PubMed ID: 24953093
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Serum levels of TGF-β1 and MCP-1 as biomarkers for progressive coal workers' pneumoconiosis in retired coal workers: a three-year follow-up study.
    Lee JS; Shin JH; Lee KM; Hwang JH; Baek JE; Kim JH; Choi BS
    Ind Health; 2014; 52(2):129-36. PubMed ID: 24464026
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prognostic Implication of Exfoliative Airway Pathology in Cancer-Free Coal Workers' Pneumoconiosis.
    Cho U; Kim TE; Park CK; Yoon HK; Sa YJ; Kim HL; Kim TJ
    Int J Environ Res Public Health; 2022 Nov; 19(22):. PubMed ID: 36429692
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [The study of autophagy in alveolar macrophages of patients with coal workers' pneumoconiosis].
    Wang M; Jin Y; Chen S; Yao S; Zhu L; Duan J; Yuan J
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2015 Jan; 33(1):41-4. PubMed ID: 25876974
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Risk identification and prediction of coal workers' pneumoconiosis in Kailuan Colliery Group in China: a historical cohort study.
    Shen F; Yuan J; Sun Z; Hua Z; Qin T; Yao S; Fan X; Chen W; Liu H; Chen J
    PLoS One; 2013; 8(12):e82181. PubMed ID: 24376519
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.