Metabolic signatures and diagnostic models of ischemic stroke and its hypertensive subtype:a non-targeted metabolomics and machine learning

ABSTRACT: Ischemic stroke (IS) is a leading cause of death and disability worldwide, yet reliable early diagnostic biomarkers remain lacking. This study employed non-targeted metabolomics and machine learning to characterize metabolic profiles and identify diagnostic biomarkers for IS.

INSTRUMENT(S): Liquid Chromatography MS - positive - reversed-phase-chromatography

PROVIDER: MTBLS15660 | MetaboLights | 2026-09-17

REPOSITORIES: MetaboLights