Asset Details
Do you wish to reserve the book?
Toward predictive models for drug-induced liver injury in humans: are we there yet?
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Toward predictive models for drug-induced liver injury in humans: are we there yet?
Do you wish to request the book?
Toward predictive models for drug-induced liver injury in humans: are we there yet?
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Toward predictive models for drug-induced liver injury in humans: are we there yet?
2014
Overview
Drug-induced liver injury (DILI) is a frequent cause for the termination of drug development programs and a leading reason of drug withdrawal from the marketplace. Unfortunately, the current preclinical testing strategies, including the regulatory-required animal toxicity studies or simple
tests, are insufficiently powered to predict DILI in patients reliably. Notably, the limited predictive power of such testing strategies is mostly attributed to the complex nature of DILI, a poor understanding of its mechanism, a scarcity of human hepatotoxicity data and inadequate bioinformatics capabilities. With the advent of high-content screening assays, toxicogenomics and bioinformatics, multiple end points can be studied simultaneously to improve prediction of clinically relevant DILIs. This review focuses on the current state of efforts in developing predictive models from diverse data sources for potential use in detecting human hepatotoxicity, and also aims to provide perspectives on how to further improve DILI prediction.
Publisher
Future Medicine Ltd
Subject
/ Chemical and Drug Induced Liver Injury - metabolism
/ Chemical and Drug Induced Liver Injury - pathology
/ Drug-Related Side Effects and Adverse Reactions
/ Humans
/ Liver
/ Ontology
/ Pharmaceutical Preparations - classification
/ Pharmaceutical Preparations - metabolism
