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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

Adam Gilden, MD, MSCE Medical Reviewer Adam Gilden, MD, MSCE, is an associate director of the Obesity Medicine Fellowship at University of Colorado School of Medicine and associate director of the Colorado University Me...

The two products featured ~$13bn in 2024 sales, and the obesity market is projected by analysts to be in the multi tens of $billions in 2030E

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American Journal of Emergency Medicine