Back to search

Article

AnimalGAN: A Generative Adversarial Network Model Alternative to Animal Studies for Clinical Pathology Assessment

2023-03-27

Abstract excerpt

Animal studies are unavoidable in evaluating chemical and drug safety. Generative Adversarial Networks (GANs) can generate synthetic animal data by learning from the legacy animal study results, thus serving as an alternative approach to assess untested chemicals. AnimalGAN, a GAN method to simulate 38 rat clinical pathology measures, was developed with significant robustness even for the drugs that vary significa...

Topics

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

Identifiers and source

Literature Corpus work
00af0246-033d-52b5-a1fe-4c37d1b99c1d
DOI
10.1101/2023.03.25.534230
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.
AnimalGAN: A Generative Adversarial Network Model Alternative to Animal Studies for Clinical Pathology AssessmentDOI 10.1101/2023.03.25.534230
Select a neighboring publication to make it the new centre.