Disclosure of interest: All authors: nothing to disclose Poster Session II - DIGITAL TRANSFORMATION, AI AND ROBOTICS 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE P910 - ESOC25-521 RETINAL OCT/OCTA FOR DETECTING CEREBRAL LARGE ARTERY STENOSIS: A MACHINE LEARNING-BASED DIAGNOSTIC MODEL Hang Wang 1 , Le Cao 1 , William Robert Kwapong 1 , Yuying Yan 1 , Ruishan Liu 1 , Fayun Hu 1 , Bo Wu 1 1 West China Hospital, Sichuan University, Chengdu, China Background and Aims: Cerebral large artery stenosis (LAS) is a global health concern, associated with ischemic stroke and increased mortality
[13] Consistency beats intensity
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This approach helps identify which supplement may be responsible if side effects occur
With GLP-1 therapies requiring regular check-ins, our model ensures consistent, accessible care that traditional primary care settings often cannot provide, Anthony Puopolo, MD, president at LifeMD, told Healthline
2,3 This project will extend the literature through an exploration of weight trajectories after cessation of long-term GLP-1 RA therapy and specifically seeks to answer the question: is there a duration of treatment with GLP-1 RA therapy after which weight loss is durable
