Joint Decision-Making Model Based on Consensus Modeling Technology for the Prediction of Drug-Induced Liver Injury
Drug-induced liver injury (DILI) is the major cause of clinical trial failure and postmarketing withdrawals of approved drugs. It is very expensive and time-consuming to evaluate hepatotoxicity using animal or cell-based experiments in the early stage of drug development. In this study, an in silico...
Saved in:
| Main Authors: | Yukun Wang, Xuebo Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Journal of Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2021/2293871 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Perspective: How complex in vitro models are addressing the challenges of predicting drug-induced liver injury
by: K. Taylor, et al.
Published: (2025-02-01) -
A Model for Predicting the Risk of Developing Drug-Induced Liver Injury During Therapy with Favipiravir
by: Yu. V. Shevchuk, et al.
Published: (2025-02-01) -
Novel integrative models to predict the severity of inflammation and fibrosis in patients with drug-induced liver injury
by: Yue Zhang, et al.
Published: (2025-04-01) -
Predictive modeling of pediatric
drug-induced liver injury: Dynamic classifier selection with clustering analysis
by: Zixin Shi, et al.
Published: (2025-03-01) -
Cover: Liver Chip System to Model Drug-Induced Liver Injury Using Liver Organoids
Published: (2024-01-01)