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Artificial Intelligence Meets Bioequivalence: Using Generative Adversarial Networks for Smarter, Smaller Trials

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 participants in generic drug...

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Kaydedildi:
Asıl Yazarlar: Anastasios Nikolopoulos, Vangelis D. Karalis
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2025-05-01
Seri Bilgileri:Machine Learning and Knowledge Extraction
Konular:
artificial neural network
generative adversarial networks
generative AI algorithms
bioequivalence
sample size
clinical trials
Online Erişim:https://www.mdpi.com/2504-4990/7/2/47
Etiketler: Etiketle
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