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However, reliable and well\u2010tolerated monitoring strategies for these complications remain an unmet clinical need. In this study, a bimetallic oxide heterostructure is designed featuring petal\u2010shaped nanostructures and nanoneedle protrusions, which integrates the complementary affinities of the constituent oxides with lowered ionization barriers, enabling unbiased detection across the full polarity spectrum of metabolites. With enhanced spectral acquisition capabilities and interpretable machine learning algorithms, aqueous humor samples collected from ophthalmic examinations of MFS patients are analyzed, a necessity given that eye problems are among the initial symptoms of MFS. This achieves effective monitoring of the onset of cardiovascular complications in MFS patients, with a mean AUC of 0.946, an accuracy of 0.891, and a precision of 0.893. 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