crossrefMachine Learning and Knowledge Extraction2025-05-23Cited by 2
Artificial Intelligence Meets Bioequivalence: Using Generative Adversarial Networks for Smarter, Smaller Trials
Anastasios Nikolopoulos, Vangelis D. Karalis
This study introduces artificial intelligence as a powerful tool to transform bioequivalence (BE) trials. We apply advanced generative models, specifically Wasserstein Generative Adversarial Networks (WGANs), to create virtual subjects and reduce the need for real human participa…