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This study evaluates machine learning (ML) models in differentiating ischemic stroke (IS) from hemorrhagic stroke (HS) and classifying IS subtypes using integrated genomic, proteomic, transcriptomic, microRNA, and neuroimaging data (CT and MRI)

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The same mechanism that helps deliver healing factors to injured tissue could theoretically support tumor growth by enhancing blood supply to cancerous cells