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1012 Artificial intelligence meets clinical trial design: A test case in predicting patient achievement of minimal significant difference using conditional generative adversarial networks Siddharth Kakked 1 1 OPEN Health, Falmouth, Maine, USA Journal of Patient-Reported Outcomes 2026 , 10(Suppl 1) :1012 Aims This study investigates whether a conditional Generative Adversarial Network (cGAN) can reliably predict the probability of successfully achieving a clinical trial endpoint
5 , CD012214 (2024)
Compounded preparations are not FDA-approved finished products, and the FDA states it does not review compounded drugs for safety, effectiveness or quality before they are marketed
Med Sci Monit (2020) 26:e920989
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