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 *

216 related articles for article (PubMed ID: 30325042)

  • 1. Prediction of clinically relevant drug-induced liver injury from structure using machine learning.
    Hammann F; Schöning V; Drewe J
    J Appl Toxicol; 2019 Mar; 39(3):412-419. PubMed ID: 30325042
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Drug properties and host factors contribute to biochemical presentation of drug-induced liver injury: a prediction model from a machine learning approach.
    Gonzalez-Jimenez A; Suzuki A; Chen M; Ashby K; Alvarez-Alvarez I; Andrade RJ; Lucena MI
    Arch Toxicol; 2021 May; 95(5):1793-1803. PubMed ID: 33666709
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Urine metabolomics and microbiome analyses reveal the mechanism of anti-tuberculosis drug-induced liver injury, as assessed for causality using the updated RUCAM: A prospective study.
    Wang MG; Wu SQ; Zhang MM; He JQ
    Front Immunol; 2022; 13():1002126. PubMed ID: 36483548
    [TBL] [Abstract][Full Text] [Related]  

  • 5. In-silico approach for drug induced liver injury prediction: Recent advances.
    Saini N; Bakshi S; Sharma S
    Toxicol Lett; 2018 Oct; 295():288-295. PubMed ID: 29981923
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Deep Learning Algorithm Based on Molecular Fingerprint for Prediction of Drug-Induced Liver Injury.
    Yang Q; Zhang S; Li Y
    Toxicology; 2024 Feb; 502():153736. PubMed ID: 38307192
    [TBL] [Abstract][Full Text] [Related]  

  • 10. How to avoid being surprised by hepatotoxicity at the final stages of drug development and approval.
    Regev A
    Clin Liver Dis; 2013 Nov; 17(4):749-67, xi. PubMed ID: 24099029
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The hepatotoxic potential of protein kinase inhibitors predicted with Random Forest and Artificial Neural Networks.
    Schöning V; Krähenbühl S; Drewe J
    Toxicol Lett; 2018 Dec; 299():145-148. PubMed ID: 30315951
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A high content screening assay to predict human drug-induced liver injury during drug discovery.
    Persson M; Løye AF; Mow T; Hornberg JJ
    J Pharmacol Toxicol Methods; 2013; 68(3):302-13. PubMed ID: 23933113
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of intrinsic hepatotoxic compounds in Polygonum multiflorum Thunb. using machine-learning methods.
    Hu X; Du T; Dai S; Wei F; Chen X; Ma S
    J Ethnopharmacol; 2022 Nov; 298():115620. PubMed ID: 35963419
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.
    Lai NH; Shen WC; Lee CN; Chang JC; Hsu MC; Kuo LN; Yu MC; Chen HY
    Comput Methods Programs Biomed; 2020 May; 188():105307. PubMed ID: 31911332
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. In silico prediction of drug-induced liver injury with a complementary integration strategy based on hybrid representation.
    Gu Y; Wang Y; Wu Z; Li W; Liu G; Tang Y
    Mol Inform; 2023 Jul; 42(7):e2200284. PubMed ID: 37195875
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds.
    Sakatis MZ; Reese MJ; Harrell AW; Taylor MA; Baines IA; Chen L; Bloomer JC; Yang EY; Ellens HM; Ambroso JL; Lovatt CA; Ayrton AD; Clarke SE
    Chem Res Toxicol; 2012 Oct; 25(10):2067-82. PubMed ID: 22931300
    [TBL] [Abstract][Full Text] [Related]  

  • 20. AI/ML Models to Predict the Severity of Drug-Induced Liver Injury for Small Molecules.
    Rao M; Nassiri V; Alhambra C; Snoeys J; Van Goethem F; Irrechukwu O; Aleo MD; Geys H; Mitra K; Will Y
    Chem Res Toxicol; 2023 Jul; 36(7):1129-1139. PubMed ID: 37294641
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.