Results 241 to 250 of about 219,574 (288)

AI/ML Models to Predict the Severity of Drug-Induced Liver Injury for Small Molecules.

Chemical Research in Toxicology, 2023
Drug-induced liver injury (DILI), believed to be a multifactorial toxicity, has been a leading cause of attrition of small molecules during discovery, clinical development, and postmarketing.
Mohan Rao, V. Nassiri, C. Alhambra, J. Snoeys, F. van Goethem, O. Irrechukwu, M. Aleo, H. Geys, K. Mitra, Y. Will   +9 more
semanticscholar   +1 more source

Simplified Test for Determination of Drug‐Oxidizing Capacity in Rats with Chemical‐Induced Liver Injury Using Caffeine and Trimethadione as Model Drugs

Pharmacology & Toxicology, 1992
Abstract:We examined the possibility of predicting the extent of hepatic drug‐oxidizing capacity by determination of caffeine, trimethadione and their metabolites in three groups of rats with chemically induced liver injuries. Trimethadione (4 mg/kg) and caffeine (10 mg/kg) were simultaneously administered as two probe drugs.
E, Tanaka, A, Ishikawa, S, Misawa
openaire   +2 more sources

Unveiling the therapeutic promise of natural products in alleviating drug‐induced liver injury: Present advancements and future prospects

Phytotherapy Research, 2023
Drug‐induced liver injury (DILI) refers to adverse reactions to small chemical compounds, biological agents, and medical products. These reactions can manifest as acute or chronic damage to the liver.
Deepti Singh, M. A. Khan, Hifzur R Siddique   +2 more
semanticscholar   +1 more source

Chemical probes for drug-induced liver injury imaging.

Future Medicinal Chemistry, 2020
Drug-induced liver injury (DILI) has been a long-standing concern of modern medicine, and the single most frequent reason for drug nonapprovals and postapproval restrictions or withdrawals.
Tao Jiang, Pengfei Rong, Wei Wang
semanticscholar   +1 more source

StackDILI: Enhancing Drug-Induced Liver Injury Prediction through Stacking Strategy with Effective Molecular Representations

Journal of Chemical Information and Modeling
Drug-induced liver injury (DILI) is a major challenge in drug development, often leading to clinical trial failures and market withdrawals due to liver toxicity.
Jiahui Guan, Danhong Dong, Peilin Xie, Zhihao Zhao, Yilin Guo, Tzong-Yi Lee, Lantian Yao, Ying-Chih Chiang   +7 more
semanticscholar   +1 more source

TCN-RDP: Predicting Drug-Induced Liver Injury from Time-Series Toxicogenomic Data

Journal of Chemical Information and Modeling
Drug-induced liver injury (DILI) is a major obstacle in drug development, often leading to high failure rates in clinical trials. Traditional toxicological assessments are slow and resource-intensive, making early prediction of hepatotoxicity a ...
Zhongyan Zhao, Bin Li, Haochen Zuo, Ruibing Chen, Rui Deng, Jie Geng, Changming Sun, Leyi Wei, Mingxiao Lang, Ran Su   +9 more
semanticscholar   +1 more source

Vanishing bile duct syndrome in drug-induced liver injury: clinical and pathologic perspectives

Exploration of Medicine
Vanishing bile duct syndrome (VBDS) is a rare condition, representing approximately 0.5% of small bile duct diseases, characterized by progressive destruction of intrahepatic bile ducts, leading to ductopenia.
Sugunah Sallapan, Kyrillos Faragalla, Hanlin L. Wang, Cherry Pun, Jimin Liu   +4 more
semanticscholar   +1 more source

Improving drug-induced liver injury prediction using graph neural networks with augmented graph features from molecular optimisation

Journal of Cheminformatics
Drug-induced liver injury (DILI) is a significant concern in drug development, often leading to the discontinuation of clinical trials and the withdrawal of drugs from the market.
Taeyeub Lee, J. Posma
semanticscholar   +1 more source

Hybrid in silico models for drug‐induced liver injury using chemical descriptors and in vitro cell‐imaging information

Journal of Applied Toxicology, 2013
ABSTRACTDrug‐induced liver injury (DILI) is a major adverse drug reaction that accounts for one‐third of post‐marketing drug withdrawals. Several classifiers for human hepatotoxicity using chemical descriptors with limited prediction accuracies have been published.
Xiang-Wei, Zhu, Alexander, Sedykh, Shu-Shen, Liu   +2 more
openaire   +2 more sources

Predicting Liver Injury Risk from Chemical Properties and Drug Label Information Using Machine Learning Models

2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)
This research aims to create a drug-induced liver injury (DILI) severity prediction system based on machine learning to aid healthcare professionals in safety assessment.
Vyshali J. Gogi, Balakrishna R, Ann Mathew   +2 more
semanticscholar   +1 more source