Predicting Drug-Induced Liver Injury Using Machine Learning on a Diverse Set of Predictors

Predicting Drug-Induced Liver Injury Using Machine Learning on a Diverse Set of Predictors

A major challenge in drug development is safety and toxicity concerns due to drug side effects. One such side effect, drug-induced liver injury (DILI), is considered a primary factor in regulatory clearance. The Critical Assessment of Massive Data Analysis (CAMDA) 2020 CMap Drug Safety Challenge goa...

Full description

Bibliographic Details
Main Authors: Temidayo Adeluwa, Brett A. McGregor, Kai Guo, Junguk Hur
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Pharmacology
Subjects:
DILI
Connectivity Map
Tox21
FAERS
machine learning
Mold2
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2021.648805/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2021.648805/full

Similar Items