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  "path": "/news/2026-03-machine-preeclampsia-week-pregnancy.html",
  "publishedAt": "2026-03-06T12:20:02.000Z",
  "site": "https://medicalxpress.com",
  "textContent": "A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden onset condition that involves high blood pressure prior to delivery. It affects about 2% to 8% of pregnancies worldwide and can have serious consequences for both parent and child. A new study, published March 6 in JAMA Network Open, describes a machine-learning-based computer model that provides continually updated predictions of preeclampsia risk based on electronic health record data recorded late in pregnancy.",
  "title": "Machine learning can predict preeclampsia by week 34 of pregnancy"
}