These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

293 related articles for article (PubMed ID: 33181462)

  • 1. Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and predictive values.
    Zhang Z; Pan Q; Ge H; Xing L; Hong Y; Chen P
    EBioMedicine; 2020 Dec; 62():103081. PubMed ID: 33181462
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Construction of an HLA Classifier for Early Diagnosis, Prognosis, and Recognition of Immunosuppression in Sepsis by Multiple Transcriptome Datasets.
    Chen Z; Chen R; Ou Y; Lu J; Jiang Q; Liu G; Wang L; Liu Y; Zhou Z; Yang B; Zuo L
    Front Physiol; 2022; 13():870657. PubMed ID: 35685286
    [No Abstract]   [Full Text] [Related]  

  • 3. SDF4 Is a Prognostic Factor for 28-Days Mortality in Patients With Sepsis
    Zhu T; Su Q; Wang C; Shen L; Chen H; Feng S; Peng X; Chen S; Wang Y; Jiang H; Chen J
    Front Immunol; 2021; 12():659193. PubMed ID: 34326834
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification of patients with sepsis according to blood genomic endotype: a prospective cohort study.
    Scicluna BP; van Vught LA; Zwinderman AH; Wiewel MA; Davenport EE; Burnham KL; Nürnberg P; Schultz MJ; Horn J; Cremer OL; Bonten MJ; Hinds CJ; Wong HR; Knight JC; van der Poll T;
    Lancet Respir Med; 2017 Oct; 5(10):816-826. PubMed ID: 28864056
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission.
    Banerjee S; Mohammed A; Wong HR; Palaniyar N; Kamaleswaran R
    Front Immunol; 2021; 12():592303. PubMed ID: 33692779
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Construction and validation of a robust prognostic model based on immune features in sepsis.
    Zheng Y; Liu B; Deng X; Chen Y; Huang Y; Zhang Y; Xu Y; Sang L; Liu X; Li Y
    Front Immunol; 2022; 13():994295. PubMed ID: 36532037
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.
    Jiang Y; Liang X; Han Z; Wang W; Xi S; Li T; Chen C; Yuan Q; Li N; Yu J; Xie Y; Xu Y; Zhou Z; Poultsides GA; Li G; Li R
    Lancet Digit Health; 2021 Jun; 3(6):e371-e382. PubMed ID: 34045003
    [TBL] [Abstract][Full Text] [Related]  

  • 8. FCGR2C: An emerging immune gene for predicting sepsis outcome.
    Liu S; Zhang YL; Zhang LY; Zhao GJ; Lu ZQ
    Front Immunol; 2022; 13():1028785. PubMed ID: 36532072
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Gene expression signatures identify paediatric patients with multiple organ dysfunction who require advanced life support in the intensive care unit.
    Shankar R; Leimanis ML; Newbury PA; Liu K; Xing J; Nedveck D; Kort EJ; Prokop JW; Zhou G; Bachmann AS; Chen B; Rajasekaran S
    EBioMedicine; 2020 Dec; 62():103122. PubMed ID: 33248372
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development and validation of novel inflammatory response-related gene signature for sepsis prognosis.
    Jiang S; Zhang W; Lu Y
    J Zhejiang Univ Sci B; 2022 Dec; 23(12):1028-1041. PubMed ID: 36518055
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of two robust subclasses of sepsis with both prognostic and therapeutic values based on machine learning analysis.
    Zhou W; Zhang C; Zhuang Z; Zhang J; Zhong C
    Front Immunol; 2022; 13():1040286. PubMed ID: 36505503
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identifying and optimizing human endometrial gene expression signatures for endometrial dating.
    Diaz-Gimeno P; Sebastian-Leon P; Sanchez-Reyes JM; Spath K; Aleman A; Vidal C; Devesa-Peiro A; Labarta E; Sánchez-Ribas I; Ferrando M; Kohls G; García-Velasco JA; Seli E; Wells D; Pellicer A
    Hum Reprod; 2022 Jan; 37(2):284-296. PubMed ID: 34875061
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
    Zhu M; Hu C; He Y; Qian Y; Tang S; Hu Q; Hao C
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul; 35(7):696-701. PubMed ID: 37545445
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Construction of Autophagy-Related Gene Classifier for Early Diagnosis, Prognosis and Predicting Immune Microenvironment Features in Sepsis by Machine Learning Algorithms.
    Chen Z; Zeng L; Liu G; Ou Y; Lu C; Yang B; Zuo L
    J Inflamm Res; 2022; 15():6165-6186. PubMed ID: 36386585
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Molecular Host Response Assay to Discriminate Between Sepsis and Infection-Negative Systemic Inflammation in Critically Ill Patients: Discovery and Validation in Independent Cohorts.
    McHugh L; Seldon TA; Brandon RA; Kirk JT; Rapisarda A; Sutherland AJ; Presneill JJ; Venter DJ; Lipman J; Thomas MR; Klein Klouwenberg PM; van Vught L; Scicluna B; Bonten M; Cremer OL; Schultz MJ; van der Poll T; Yager TD; Brandon RB
    PLoS Med; 2015 Dec; 12(12):e1001916. PubMed ID: 26645559
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Key Inflammation-related Genes as Potential Diagnostic Biomarkers of Sepsis.
    Guo P; Wang R; Shen J; Zhang L; Mo W
    Altern Ther Health Med; 2023 Jul; 29(5):24-31. PubMed ID: 37235492
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Construction and Validation of a Prognostic Gene-Based Model for Overall Survival Prediction in Hepatocellular Carcinoma Using an Integrated Statistical and Bioinformatic Approach.
    Dessie EY; Tu SJ; Chiang HS; Tsai JJP; Chang YS; Chang JG; Ng KL
    Int J Mol Sci; 2021 Feb; 22(4):. PubMed ID: 33562824
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Clinical predictive value of short-term dynamic changes in platelet counts for prognosis of sepsis patients in intensive care unit: a retrospective cohort study in adults].
    Zhou Z; Xie Y; Feng T; Zhang X; Zhang Y; Jin W; Tian R; Wang R
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Mar; 32(3):301-306. PubMed ID: 32385993
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A diagnostic model for sepsis-induced acute lung injury using a consensus machine learning approach and its therapeutic implications.
    Zheng Y; Wang J; Ling Z; Zhang J; Zeng Y; Wang K; Zhang Y; Nong L; Sang L; Xu Y; Liu X; Li Y; Huang Y
    J Transl Med; 2023 Sep; 21(1):620. PubMed ID: 37700323
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Host-response-based gene signatures for tuberculosis diagnosis: A systematic comparison of 16 signatures.
    Warsinske H; Vashisht R; Khatri P
    PLoS Med; 2019 Apr; 16(4):e1002786. PubMed ID: 31013272
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.