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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

Supernatant was transferred to 1.5 mL microcentrifuge tube after which the remining pellet was resuspended in 400 L 20 C 40:40:20 Acetonitrile (ACN): MeOH: H2O extraction solvent and incubated on ice for 5 minutes

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Circular RNA FEACR inhibits ferroptosis and alleviates myocardial ischemia/reperfusion injury by interacting with NAMPT