BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

169 related articles for article (PubMed ID: 34483896)

  • 1. Predicting Drug-Induced Liver Injury Using Machine Learning on a Diverse Set of Predictors.
    Adeluwa T; McGregor BA; Guo K; Hur J
    Front Pharmacol; 2021; 12():648805. PubMed ID: 34483896
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predictability of drug-induced liver injury by machine learning.
    Chierici M; Francescatto M; Bussola N; Jurman G; Furlanello C
    Biol Direct; 2020 Feb; 15(1):3. PubMed ID: 32054490
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An ensemble learning approach for modeling the systems biology of drug-induced injury.
    Aguirre-Plans J; Piñero J; Souza T; Callegaro G; Kunnen SJ; Sanz F; Fernandez-Fuentes N; Furlong LI; Guney E; Oliva B
    Biol Direct; 2021 Jan; 16(1):5. PubMed ID: 33435983
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure.
    Liu A; Walter M; Wright P; Bartosik A; Dolciami D; Elbasir A; Yang H; Bender A
    Biol Direct; 2021 Jan; 16(1):6. PubMed ID: 33461600
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diverse approaches to predicting drug-induced liver injury using gene-expression profiles.
    Sumsion GR; Bradshaw MS; Beales JT; Ford E; Caryotakis GRG; Garrett DJ; LeBaron ED; Nwosu IO; Piccolo SR
    Biol Direct; 2020 Jan; 15(1):1. PubMed ID: 31941542
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).
    Minerali E; Foil DH; Zorn KM; Lane TR; Ekins S
    Mol Pharm; 2020 Jul; 17(7):2628-2637. PubMed ID: 32422053
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DeepDILI: Deep Learning-Powered Drug-Induced Liver Injury Prediction Using Model-Level Representation.
    Li T; Tong W; Roberts R; Liu Z; Thakkar S
    Chem Res Toxicol; 2021 Feb; 34(2):550-565. PubMed ID: 33356151
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Hepatotoxicity reports in the FDA adverse event reporting system database: A comparison of drugs that cause injury
    Rana P; Aleo MD; Wen X; Kogut S
    Acta Pharm Sin B; 2021 Dec; 11(12):3857-3868. PubMed ID: 35024312
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine Learning to Predict Drug-Induced Liver Injury and Its Validation on Failed Drug Candidates in Development.
    Mostafa F; Howle V; Chen M
    Toxics; 2024 May; 12(6):. PubMed ID: 38922065
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ensemble Models Based on QuBiLS-MAS Features and Shallow Learning for the Prediction of Drug-Induced Liver Toxicity: Improving Deep Learning and Traditional Approaches.
    Mora JR; Marrero-Ponce Y; García-Jacas CR; Suarez Causado A
    Chem Res Toxicol; 2020 Jul; 33(7):1855-1873. PubMed ID: 32406679
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs.
    Hong H; Thakkar S; Chen M; Tong W
    Sci Rep; 2017 Dec; 7(1):17311. PubMed ID: 29229971
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of Alternative Drug-Induced Liver Injury Classifications Using Molecular Descriptors, Gene Expression Perturbation, and Toxicology Reports.
    Lesiński W; Mnich K; Rudnicki WR
    Front Genet; 2021; 12():661075. PubMed ID: 34276771
    [No Abstract]   [Full Text] [Related]  

  • 13. Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance.
    Feng C; Chen H; Yuan X; Sun M; Chu K; Liu H; Rui M
    J Chem Inf Model; 2019 Jul; 59(7):3240-3250. PubMed ID: 31188585
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting Drug-Induced Liver Injury with Bayesian Machine Learning.
    Williams DP; Lazic SE; Foster AJ; Semenova E; Morgan P
    Chem Res Toxicol; 2020 Jan; 33(1):239-248. PubMed ID: 31535850
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of drug-induced liver injury and cardiotoxicity using chemical structure and in vitro assay data.
    Ye L; Ngan DK; Xu T; Liu Z; Zhao J; Sakamuru S; Zhang L; Zhao T; Xia M; Simeonov A; Huang R
    Toxicol Appl Pharmacol; 2022 Nov; 454():116250. PubMed ID: 36150479
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury.
    Li T; Tong W; Roberts R; Liu Z; Thakkar S
    Front Bioeng Biotechnol; 2020; 8():562677. PubMed ID: 33330410
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting Antituberculosis Drug-Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study.
    Zhong T; Zhuang Z; Dong X; Wong KH; Wong WT; Wang J; He D; Liu S
    JMIR Med Inform; 2021 Jul; 9(7):e29226. PubMed ID: 34283036
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints.
    Liu X; Zheng D; Zhong Y; Xia Z; Luo H; Weng Z
    Biomed Res Int; 2020; 2020():4795140. PubMed ID: 32509859
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints.
    Kim E; Nam H
    BMC Bioinformatics; 2017 May; 18(Suppl 7):227. PubMed ID: 28617228
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integrating adverse outcome pathways (AOPs) and high throughput in vitro assays for better risk evaluations, a study with drug-induced liver injury (DILI).
    Khadka KK; Chen M; Liu Z; Tong W; Wang D
    ALTEX; 2020; 37(2):187-196. PubMed ID: 31707421
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.