Dr. Nima Aghaeepour, a researcher at March of Dimes' Prematurity Research Center at Stanford, discusses a Machine Learning (ML) model that predicts prematurity-related newborn diseases weeks before they occur, including before a baby is even born.

Dr. Nima Aghaeepour, a researcher at March of Dimes' Prematurity Research Center at Stanford, discusses a Machine Learning (ML) model that predicts prematurity-related newborn diseases weeks before they occur, including before a baby is even born.

Dr. Nima Aghaeepour, a researcher at March of Dimes' Prematurity Research Center at Stanford, discusses a Machine Learning (ML) model that predicts prematurity-related newborn diseases weeks before they occur, including before a baby is even born.&nbsp;

Dr. Nima Aghaeepour on Predicting Neonatal Complications with Machine Learning (AI)

MODCAST is a podcast on the most impactful maternal and infant health research conducted today. MODCAST aims to bring scientists, doctors, donors, and families behind the laboratory doors for a fascinating look into the science that is changing, study by study, the story of moms and babies in the U.S. From interviews and news analysis to study discussions and more, MODCAST is the science community’s source for today’s preeminent research on moms and babies.&nbsp; Listen today.&nbsp;

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Life Sciences

MODCAST is a podcast on the most impactful maternal and infant health research conducted today. MODCAST aims to bring scientists, doctors, donors, and families behind the laboratory doors for a fascinating look into the science that is changing, study by study, the story of moms and babies in the U.S. From interviews and news analysis to study discussions and more, MODCAST is the science community’s source for today’s preeminent research on moms and babies.  Listen today. 

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Dr. Nima Aghaeepour on Predicting Neonatal Complications with Machine Learning (AI)

Dr. Nima Aghaeepour on Predicting Neonatal Complications with Machine Learning (AI)