Medicine and Health

Predictive Model for Preeclampsia Combining sFlt-1, PlGF, NT-proBNP, and Uric Acid as Biomarkers

G. C, C. M, et al.

Discover how a groundbreaking machine-learning model developed by Garrido-Giménez et al. enhances the prediction of preterm preeclampsia using key biomarkers like sFlt-1/PlGF ratio, NT-proBNP, and uric acid, demonstrating improved predictive capabilities as delivery approaches.

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