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Technology

Machine learning model predicts preeclampsia risk week by week in the third trimester

Weill Cornell Medicine researchers built a machine learning model that provides rolling preeclampsia predictions during the third trimester using electronic health record data. Trained on 36,000 pregnancies and validated across three hospitals, the model was most accurate around 34 weeks, with blood pressure, lab results, and white blood cell count emerging as key predictors at different stages.

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Science

Demon Slayer's bamboo muzzle could not exist in nature, a botanist confirms

Professor Akio Inoue analyzed the bamboo muzzle worn by a character in the anime Demon Slayer and found its proportions are botanically impossible. In real bamboo, adjacent sections are nearly as long as the longest segment; in the anime, they are less than half. The study, published in Advances in Bamboo Science, aims to boost public awareness of bamboo biology.

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