ML Model Enables Real-Time Preeclampsia Risk Prediction in Late Pregnancy

Preeclampsia affects 2-8% of pregnancies worldwide and can cause severe health risks for both parent and baby if undetected.

Among the most dangerous surprises in obstetric medicine, preeclampsia has long resisted prediction in the final weeks of pregnancy — the very window when intervention matters most. Researchers at Weill Cornell Medicine have now built a machine-learning model that watches continuously, recalculating risk as each new vital sign and lab result arrives, offering clinicians something rare in late pregnancy: time to act. Trained on tens of thousands of pregnancies and validated across multiple hospital cohorts, the system points toward a future where a condition that has long announced itself too l

ML Model Enables Real-Time Preeclampsia Risk Prediction in Late Pregnancy

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