AIMC Topic: Chemical and Drug Induced Liver Injury
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ANTIOXIDANT ACTIVITY AND HEPATOPROTECTIVE EFFECTS OF COMPOUND .
African journal of traditional, complementary, and alternative medicines : AJTCAM
Aug 12, 2016
BACKGROUND: Chinese medicine has its own uniqueness, advantageous in the treatment of hepatic diseases, and they were widely used in the oxidation. At the same time, oxidation is one of the mechanism of protect liver.
Effect of goat milk on hepatotoxicity induced by antitubercular drugs in rats.
Journal of food and drug analysis
Jun 2, 2016
Aim of the present study was to assess the hepatoprotective activity of goat milk on antitubercular drug-induced hepatotoxicity in rats. Hepatotoxicity was induced in rats using a combination of isoniazid, rifampicin, and pyrazinamide given orally as...
A Systematic Strategy for Screening and Application of Specific Biomarkers in Hepatotoxicity Using Metabolomics Combined With ROC Curves and SVMs.
Toxicological sciences : an official journal of the Society of Toxicology
Jan 18, 2016
Current studies that evaluate toxicity based on metabolomics have primarily focused on the screening of biomarkers while largely neglecting further verification and biomarker applications. For this reason, we used drug-induced hepatotoxicity as an ex...
Predicting in vitro assays related to liver function using probabilistic machine learning.
Toxicology
Sep 1, 2025
While machine learning has gained traction in toxicological assessments, the limited data availability requires the quantification of uncertainty of in silico predictions for reliable decision-making. This study addresses the challenge of predicting ...
Development of an AI model for DILI-level prediction using liver organoid brightfield images.
Communications biology
Jun 7, 2025
AI image processing techniques hold promise for clinical applications by enabling analysis of complex status information from cells. Importantly, real-time brightfield imaging has advantages of informativeness, non-destructive nature, and low cost ov...
BoostDILI: Extreme Gradient Boost-Powered Drug-Induced Liver Injury Prediction and Structural Alerts Generation.
Chemical research in toxicology
May 19, 2025
Over the past 60 years, drug-induced liver injury (DILI) has played a key role in the withdrawal of marketed drugs due to safety concerns. Early prediction of DILI is crucial for developing safer pharmaceuticals, yet current and testing methods are...
Artificial Intelligence: An Emerging Tool for Studying Drug-Induced Liver Injury.
Liver international : official journal of the International Association for the Study of the Liver
Mar 1, 2025
Drug-induced liver injury (DILI) is a complex and potentially severe adverse reaction to drugs, herbal products or dietary supplements. DILI can mimic other liver diseases clinical presentation, and currently lacks specific diagnostic biomarkers, whi...
Development and Validation of a Novel Model to Discriminate Idiosyncratic Drug-Induced Liver Injury and Autoimmune Hepatitis.
Liver international : official journal of the International Association for the Study of the Liver
Feb 1, 2025
BACKGROUND AND AIM: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoimmune hepatitis (AIH) is critical yet challenging. We aim to develop and validate a machine learning (ML)-based model to aid in this differentiation.
Prediction of Drug-Induced Liver Injury: From Molecular Physicochemical Properties and Scaffold Architectures to Machine Learning Approaches.
Chemical biology & drug design
Aug 1, 2024
The process of developing new drugs is widely acknowledged as being time-intensive and requiring substantial financial investment. Despite ongoing efforts to reduce time and expenses in drug development, ensuring medication safety remains an urgent p...
Best practice and reproducible science are required to advance artificial intelligence in real-world applications.
Briefings in bioinformatics
Jul 18, 2022
Drug-induced liver injury (DILI) is one of the most significant concerns in medical practice but yet it still cannot be fully recapitulated with existing in vivo, in vitro and in silico approaches. To address this challenge, Chen et al. [ 1] develope...
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