Dr. Brice Gaudillière on Separating the Signal from the Noise: A Novel Biomarker Identification Model for Preterm Birth and Preeclampsia
Manage episode 420858751 series 3484005
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.
15 episodes