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Dr. Brice Gaudillière, an investigator at the March of Dimes Prematurity Research Center at Stanford University, discusses a breakthrough Machine Learning (ML) algorithm that makes reliable predictions about labor onset, preterm birth, and preeclampsia and also identifies the biological markers supporting those predictions.
4.3
66 ratings
Dr. Brice Gaudillière, an investigator at the March of Dimes Prematurity Research Center at Stanford University, discusses a breakthrough Machine Learning (ML) algorithm that makes reliable predictions about labor onset, preterm birth, and preeclampsia and also identifies the biological markers supporting those predictions.
5,359 Listeners