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Scientific Communications: AI 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE O - ESOC25-1793 DEEP LEARNING MODEL FOR NEW CEREBRAL INFARCTION DETECTION AND STROKE RISK PREDICTION USING SERIAL FLAIR IMAGES Seongho Park 1 1 Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, South Korea Background and Aims: Asymptomatic cerebral infarctions frequently remain undetected despite their significance as a risk factor for stroke recurrence
MIC stands for methionine, inositol, and choline lipotropic agents that help break down fat
In 3-KO mice, these reductions were absent, reinforcing the idea that 3-AR plays a necessary role in regulating the response of brown adipose tissue to these agents [2]
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