A generative adversarial network model alternative to animal studies for clinical pathology assessment | Nature Communications – Xi Chen, Ruth Roberts, Zhichao Liu & Weida Tong , 2023 The source of the data: AnimalGAN was trained using Open TG-GATEs, a large, publicly available toxicology database that stores both: Traditional toxicology data and Toxicogenomic profiles. The data comes from experimentsContinue reading “Method behind AnimalGAN”
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AnimalGAN Can Reduce Animal Testing
A generative adversarial network model alternative to animal studies for clinical pathology assessment – X Chen, R Roberts, Z Liu, W Tong, 2023 Can AI Replace Animal Testing? Animal studies are still the default. Animal studies have long been the backbone of drug and chemical safety testing. They give researchers rich, multi-layered data with parametersContinue reading “AnimalGAN Can Reduce Animal Testing”
