Results 81 to 90 of about 2,835,752 (355)
Machine Learning Models to Predict Inhibition of the Bile Salt Export Pump [PDF]
arXiv, 2020 Drug-induced liver injury (DILI) is the most common cause of acute liver failure and a frequent reason for withdrawal of candidate drugs during preclinical and clinical testing. An important type of DILI is cholestatic liver injury, caused by buildup of bile salts within hepatocytes; it is frequently associated with inhibition of bile salt transporters,
arxiv
Predicting Drug-Induced Hepatotoxicity Using QSAR and Toxicogenomics Approaches [PDF]
, 2011 Quantitative Structure-Activity Relationship (QSAR) modeling and toxicogenomics are used independently as predictive tools in toxicology. In this study, we evaluated the power of several statistical models for predicting drug hepatotoxicity in rats using
Fourches, Denis +12 more
core +2 more sources
, 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 +7 more
openaire +2 more sources
BML-257, a small molecule that protects against drug induced liver injury in zebrafish
bioRxiv, 2022 The use of many essential drugs is restricted due to their deleterious effects on the liver. Molecules that can prevent or protect the liver from drug induced liver injury (DILI) would be valuable in such situations.
U. Jagtap +4 more
semanticscholar +1 more source
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Molecular Oncology, EarlyView.Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi +6 more
wiley +1 more source
[Drug induced liver injury. Chemical liver necrosis caused by formation of reactive metabolites].
Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke, 1976 Erik Dybing
openalex +2 more sources
, 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 +7 more
openaire +2 more sources
Crosstalk between gut microbiota and tumor: tumors could cause gut dysbiosis and metabolic imbalance
Molecular Oncology, EarlyView.In this research, we analyzed the relationship between gut microbiota and tumor. We discovered that both subcutaneous and metastatic tumors would alter the composition and metabolic function of gut microbiota. Meanwhile, fecal microbiota transplantation also indicated the anti‐tumor role of the gut microbiota, revealing the crosstalk between tumor and ...
Siyuan Zhang +8 more
wiley +1 more source
Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining [PDF]
arXiv, 2023 Accurately labeling biomedical data presents a challenge. Traditional semi-supervised learning methods often under-utilize available unlabeled data. To address this, we propose a novel reliability-based training data cleaning method employing inductive conformal prediction (ICP).
arxiv
DNA Hydroxymethylation at the Interface of the Environment and Nonalcoholic Fatty Liver Disease. [PDF]
, 2019 Non-alcoholic fatty liver disease (NAFLD) is one of the most prevalent forms of chronic liver disorders among adults, children, and adolescents, and a growing epidemic, worldwide.
Besaratinia, Ahmad, Tommasi, Stella
core +1 more source