Back to search

Article

A Machine Learning Approach Predicts Tissue-Specific Drug Adverse Events

2018-03-24

Abstract excerpt

<h4>ABSTRACT</h4> One of the main causes for failure in the drug development pipeline or withdrawal post approval is the unexpected occurrence of severe drug adverse events. Even though such events should be detected by in vitro, in vivo, and human trials, they continue to unexpectedly arise at different stages of drug development causing costly clinical trial failures and market withdrawal. Inspired by the “mone...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7882aea8-ca6d-5445-9b14-772b633ee9ea
DOI
10.1101/288332
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Machine Learning Approach Predicts Tissue-Specific Drug Adverse EventsDOI 10.1101/288332
Select a neighboring publication to make it the new centre.