Results 31 to 40 of about 1,254 (237)

Relevance of Pharmacogenomics to the Safe Use of Antimicrobials

Antibiotics, 2023
There has been widespread implementation of pharmacogenomic testing to inform drug prescribing in medical specialties such as oncology and cardiology. Progress in using pharmacogenomic tests when prescribing antimicrobials has been more limited, though a
Ann K. Daly
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Additional file 6 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

, 2021
Additional file 6: Table S1. Performance of models trained using the DILIrank (−vLessConcern) dataset. Shown is mean ± standard deviation for 7 metrics (MCC - Matthew’s Correlation Coefficient, PRAUC - Precision-Recall Area Under Curve, ROCAUC - Receiver-Operator-Characteristic Area Under Curve) for models trained using ECFP4, Mordred molecular ...
Liu, Anika, Walter, Moritz, Wright, Peter, Bartosik, Aleksandra, Dolciami, Daniela, Elbasir, Abdurrahman, Hongbin Yang, Bender, Andreas   +7 more
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PROSPECTIVE MONITORING OF DRUG USE: DRUG-INDUCED LIVER INJURY IN A PRIMARY HEALTHCARE CENTER [PDF]

Arquivos de Gastroenterologia, 2019
BACKGROUND: Drug-induced liver injury is still misunderstood in Brazil due to diagnostic difficulties or lack of reporting incidents. OBJECTIVE: To assess the frequency of adverse events related to the use of medicines in a primary healthcare unit, in
Nília Maria de Brito Lima PRADO, Gladistone Correia MESSIAS, Genário Oliveira SANTOS JUNIOR, Vinícius Santos NUNES, Maria Isabel SCHINONNI, Raymundo PARANÁ   +5 more
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Additional file 1 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

, 2021
Additional file 1: SI. Overview of gene expression data preparation, DILI model generation, and DILI label prediction performance for models derived using L1000 gene expression data. Gene expression data for 14 distinct cell line-time-dose combinations was extracted for all compounds with DILI labels.
Liu, Anika, Walter, Moritz, Wright, Peter, Bartosik, Aleksandra, Dolciami, Daniela, Elbasir, Abdurrahman, Hongbin Yang, Bender, Andreas   +7 more
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Additional file 2 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

, 2021
Additional file 2: Figure S1. DILI label prediction performance (balanced accuracy) of RF and SVM models trained using the DILIrank (−vLessConcern) dataset and Mordred molecular descriptors for 5-fold LOCO-CV, external test set, and FDA validation set (Methods).
Liu, Anika, Walter, Moritz, Wright, Peter, Bartosik, Aleksandra, Dolciami, Daniela, Elbasir, Abdurrahman, Hongbin Yang, Bender, Andreas   +7 more
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Predicting antituberculosis drug-induced liver injury using an interpretable machine learning method : model development and validation study

, 2021
202202 bcvcVersion of RecordOthersFunding was obtained from Shenzhen Science and Technology Innovation Commission: Research on Early Warning Model of Drug-induced Liver Injury in Tuberculosis Patients Based on Machine Learning (award ...
Wang, J, Zhuang, Z, He, D, Liu, S, Wong, KH, Wong, WT, Zhong, T, Dong, X, Tao Zhong, Shengyuan Liu, Wing Tak Wong, Ka Hing Wong, Daihai He, Zian Zhuang, Xiaoli Dong, Jian Wang   +15 more
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Chemical and biochemical aspects of drug-induced liver injury [PDF]

, 2011
Adverse drug reactions (ADRs) are a major obstacle for the development of new medicines. They are also a leading cause of patient morbidity and mortality. Although ADRs affect many different organs and bodily systems, drug induced liver injury has lead to the withdrawal of several drugs at the post licensing stage, and is a key cause of drug attrition.
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Additional file 3 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

, 2021
Additional file 3: Figure S2. DILI label prediction performance (balanced accuracy) of RF and SVM models trained using the DILIrank (−vLessConcern) dataset and protein target descriptors for 5-fold LOCO-CV, external test set, and FDA validation set (Methods).
Liu, Anika, Walter, Moritz, Wright, Peter, Bartosik, Aleksandra, Dolciami, Daniela, Elbasir, Abdurrahman, Hongbin Yang, Bender, Andreas   +7 more
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Characterisation of the NRF2 transcriptional network and its response to chemical insult in primary human hepatocytes: implications for prediction of drug-induced liver injury [PDF]

Archives of Toxicology, 2018
The transcription factor NRF2, governed by its repressor KEAP1, protects cells against oxidative stress. There is interest in modelling the NRF2 response to improve the prediction of clinical toxicities such as drug-induced liver injury (DILI). However, very little is known about the makeup of the NRF2 transcriptional network and its response to ...
Copple, I.M., Hollander, W. den, Callegaro, G., Mutter, F.E., Maggs, J.L., Schofield, A.L., Rainbow, L., Fang, Y., Sutherland, J.J., Ellis, E.C., Ingelman-Sundberg, M., Fenwick, S.W., Goldring, C.E., Water, B. van de, Stevens, J.L., Park, B.K.   +15 more
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Treatment with gefitinib after erlotinib-induced liver injury: a case report

Journal of Medical Case Reports, 2011
Introduction Gefitinib and erlotinib have minor differences in their chemical structures, and thus it remains unclear whether the hepatotoxicity induced by one compound is affected by the other. The case of a patient who developed erlotinib-induced liver
Nakatomi Katsumi, Nakamura Yoichi, Tetsuya Iida, Kohno Shigeru   +3 more
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