A generative adversarial network model alternative to animal studies for clinical pathology assessment | Nature Communications – Xi Chen, Ruth Roberts, Zhichao Liu & Weida Tong , 2023 Break down of the equation 1. minG and maxD This is essentially the min-max game where the Generator (G) is trying to minimize the loss between the fake synthetic data and the realContinue reading “AnimalGAN Formula Breakdown”
Tag Archives: AI
Method behind AnimalGAN
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: From chemicals to numbers: Generator vs. Discriminator – competing AIs The final formula for AnimalGAN became Generator architecture, the components Building the “virtual rat” brain FilteringContinue reading “Method behind AnimalGAN”
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”
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