Results 181 to 190 of about 12,201 (250)

Integrating adverse outcome pathways (AOPs) and high throughput in vitro assays for better risk evaluations, a study with drug-induced liver injury (DILI)_suppl

, 2019
Kapil Khadka
openalex   +2 more sources

Development of A Battery of In Silico Prediction Tools for Drug-Induced Liver Injury (DILI) from the Vantage Point of Translational Safety Assessment [PDF]

, 2020
James F. Rathman, Chihae Yang, Vinnie Ribeiro, Aleksandra Mostrąg, Shraddha Thakkar, Weida Tong, Bryan Hobocienski, Oliver Sacher, Tomasz Magdziarz, Bruno Bienfait   +9 more
openalex   +1 more source

Slow Metabolism–Driven Amplification of Hepatic PPARγ Agonism Mediates Benzbromarone‐Induced Obesity‐Specific Liver Injury

Advanced Science
Obesity and nonalcoholic fatty liver disease (NAFLD) are established risk factors for drug‐induced liver injury (DILI). The previous study demonstrates that benzbromarone (BBR), a commonly prescribed pharmaceutical agent for managing gout and ...
Guanting Li, Yourong Hu, Han Zhao, Ziyu Peng, Xin Shang, Jia Zhang, Kunxin Xie, Meiwei Li, Xiaohang Zhou, Qinyao Zhou, Kai Li, Fang Zhou, Heyao Wang, Zhijian Xu, Jiali Liu, Peng Sun   +15 more
doaj   +1 more source

Drug Induced Liver Injury: A Descriptive Analyses of Histopathological Patterns and Clinical Outcomes

International Journal of Advanced Medical and Health Research
Background: Given the increased use of complementary and alternative medicine along with over-the-counter drugs, drug-induced liver injury (DILI) has become relatively common and a differential diagnosis for every other patient who presents with a ...
Chaitra Venkataswamy, Eliz Thomas, R. K. Kartikayan   +2 more
doaj   +1 more source

Simulation-calibration testing for inference in Lasso regressions [PDF]

arXiv
We propose a test of the significance of a variable appearing on the Lasso path and use it in a procedure for selecting one of the models of the Lasso path, controlling the Family-Wise Error Rate. Our null hypothesis depends on a set A of already selected variables and states that it contains all the active variables.
arxiv  

Multimodal Prescriptive Deep Learning [PDF]

arXiv
We introduce a multimodal deep learning framework, Prescriptive Neural Networks (PNNs), that combines ideas from optimization and machine learning, and is, to the best of our knowledge, the first prescriptive method to handle multimodal data. The PNN is a feedforward neural network trained on embeddings to output an outcome-optimizing prescription.
arxiv  

Setting Clinical Exposure Levels of Concern for Drug-Induced Liver Injury (DILI) Using Mechanisticin vitroAssays [PDF]

, 2015
Falgun Shah, Louis Leung, Hugh A. Barton, Yvonne Will, A. David Rodrigues, Nigel Greene, Michael D. Aleo   +6 more
openalex   +1 more source

Idiosyncratic Drug-Induced Liver Injury (DILI) and Herb-Induced Liver Injury (HILI): Diagnostic Algorithm Based on the Quantitative Roussel Uclaf Causality Assessment Method (RUCAM). [PDF]

Diagnostics (Basel), 2021
Teschke R, Danan G.
europepmc   +1 more source

A Conditional Point Cloud Diffusion Model for Deformable Liver Motion Tracking Via a Single Arbitrarily-Angled X-ray Projection [PDF]

arXiv
Deformable liver motion tracking using a single X-ray projection enables real-time motion monitoring and treatment intervention. We introduce a conditional point cloud diffusion model-based framework for accurate and robust liver motion tracking from arbitrarily angled single X-ray projections (PCD-Liver), which estimates volumetric liver motion by ...
arxiv  

Gasdermin‐E‐Dependent Non‐Canonical Pyroptosis Promotes Drug‐Induced Liver Failure by Promoting CPS1 deISGylation and Degradation

Advanced Science
Drug‐induced liver injury (DILI) is a significant global health issue that poses high mortality and morbidity risks. One commonly observed cause of DILI is acetaminophen (APAP) overdose. GSDME is an effector protein that induces non‐canonical pyroptosis.
Shen‐Xi Ouyang, Jia‐Hui Zhu, Qi Cao, Jian Liu, Zhen Zhang, Yan Zhang, Jing‐Wen Wu, Si‐Jia Sun, Jiang‐Tao Fu, Yi‐Ting Chen, Jie Tong, Yi Liu, Jia‐Bao Zhang, Fu‐Ming Shen, Dong‐Jie Li, Pei Wang   +15 more
doaj   +1 more source