AIMC Topic: Chemical and Drug Induced Liver Injury

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Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

Computer methods and programs in biomedicine Dec 27, 2019
BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.
Drug Discovery ROC Curve Genomics Genotype Adult Humans Sensitivity and Specificity Neural Networks, Computer Male Machine Learning Middle Aged Female Reproducibility of Results Tuberculosis Risk Factors Gene Frequency Aged Aged, 80 and over Polymorphism, Genetic Support Vector Machine Chemical and Drug Induced Liver Injury Liver Taiwan Antitubercular Agents
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Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance.

Journal of chemical information and modeling Jun 28, 2019
Drug-induced liver injury (DILI), one of the most common adverse effects, leads to drug development failure or withdrawal from the market in most cases, showing an emerging challenge that is to accurately predict DILI in the early stage. Recently, th...
Reproducibility of Results Animals Male Drug Discovery Machine Learning Algorithms Computer Simulation Models, Biological Gene Expression Regulation Chemical and Drug Induced Liver Injury Vinblastine Rats Rats, Sprague-Dawley Structure-Activity Relationship Molecular Structure
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Automated Machine Learning Diagnostic Support System as a Computational Biomarker for Detecting Drug-Induced Liver Injury Patterns in Whole Slide Liver Pathology Images.

Assay and drug development technologies May 31, 2019
in vivor p R.
Rats Liver Automation Chemical and Drug Induced Liver Injury Machine Learning Biomarkers Animals Computational Biology Toxicogenetics Humans
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Prediction of clinically relevant drug-induced liver injury from structure using machine learning.

Journal of applied toxicology : JAT Oct 16, 2018
Drug-induced liver injury (DILI) is the most common cause of acute liver failure and often responsible for drug withdrawals from the market. Clinical manifestations vary, and toxicity may or may not appear dose-dependent. We present several machine-l...
Cytochrome P-450 CYP3A Chemical and Drug Induced Liver Injury Cytochrome P-450 CYP2D6 Neural Networks, Computer Machine Learning Decision Trees Humans
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The hepatotoxic potential of protein kinase inhibitors predicted with Random Forest and Artificial Neural Networks.

Toxicology letters Oct 10, 2018
Protein kinases (PKs) play a role in many pivotal aspects of cellular function. Dysregulation and mutations of protein kinases are involved in the development of different diseases, which might be treated by inhibition of the corresponding kinase. Pr...
Neural Networks, Computer Machine Learning Liver Models, Biological Quantitative Structure-Activity Relationship Protein Kinase Inhibitors Chemical and Drug Induced Liver Injury Humans
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Advancing Predictive Hepatotoxicity at the Intersection of Experimental, in Silico, and Artificial Intelligence Technologies.

Chemical research in toxicology May 10, 2018
Adverse drug reactions, particularly those that result in drug-induced liver injury (DILI), are a major cause of drug failure in clinical trials and drug withdrawals. Hepatotoxicity-mediated drug attrition occurs despite substantial investments of ti...
Animals Deep Learning Liver Models, Biological Drug-Related Side Effects and Adverse Reactions Toxicology Humans Chemical and Drug Induced Liver Injury Computer Simulation
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Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs.

Scientific reports Dec 11, 2017
Drug-induced liver injury (DILI) presents a significant challenge to drug development and regulatory science. The FDA's Liver Toxicity Knowledge Base (LTKB) evaluated >1000 drugs for their likelihood of causing DILI in humans, of which >700 drugs wer...
Humans Machine Learning Algorithms Decision Support Techniques Databases, Factual Toxicology Risk Assessment Pharmaceutical Preparations Chemical and Drug Induced Liver Injury Models, Biological United States Knowledge Bases United States Food and Drug Administration
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The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injury.

Expert review of gastroenterology & hepatology Oct 9, 2017
Drug-induced liver injury (DILI) is challenging for drug development, clinical practice and regulation. The Liver Toxicity Knowledge Base (LTKB) provides essential data for DILI study. Areas covered: The LTKB provided various types of data that can b...
Toxicogenetics Risk Assessment Pharmaceutical Preparations Drug Discovery Knowledge Bases Hep G2 Cells Severity of Illness Index Toxicology Liver Incidence Chemical and Drug Induced Liver Injury Structure-Activity Relationship Molecular Structure Humans Databases, Factual Animals
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Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines.

Journal of biomedical informatics Mar 8, 2017
Measuring toxicity is an important step in drug development. Nevertheless, the current experimental methods used to estimate the drug toxicity are expensive and time-consuming, indicating that they are not suitable for large-scale evaluation of drug ...
Forecasting Drug Discovery Support Vector Machine Drug-Related Side Effects and Adverse Reactions Humans Algorithms Chemical and Drug Induced Liver Injury
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Evidence-based selection of training compounds for use in the mechanism-based integrated prediction of drug-induced liver injury in man.

Archives of toxicology Sep 22, 2016
The current test systems employed by pharmaceutical industry are poorly predictive for drug-induced liver injury (DILI). The 'MIP-DILI' project addresses this situation by the development of innovative preclinical test systems which are both mechanis...
Drugs, Investigational Molecular Structure Mitochondria, Liver Severity of Illness Index Humans Lysosomes Evidence-Based Medicine Oxidative Stress Artificial Intelligence Models, Biological Adaptive Immunity Computational Biology Animals Expert Systems Chemical and Drug Induced Liver Injury Liver Hepatobiliary Elimination
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