Dr. Marina Sirota, principal investigator at the March of Dimes Prematurity Research Center at the University of California San Francisco, and colleagues Dr. Tomiko Oskotsky and Dr. Jonathan Golob discuss using big data to launch a DREAM Challenge that succeeded in creating two predictive models for preterm birth risk.

Dr. Marina Sirota, principal investigator at the March of Dimes Prematurity Research Center at the University of California San Francisco, and colleagues Dr. Tomiko Oskotsky and Dr. Jonathan Golob discuss using big data to launch a DREAM Challenge that succeeded in creating two predictive models for preterm birth risk.

Dr. Marina Sirota et al. on Big Data Analysis and Preterm Birth Risk Prediction

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. Marina Sirota et al. on Big Data Analysis and Preterm Birth Risk Prediction

Dr. Marina Sirota et al. on Big Data Analysis and Preterm Birth Risk Prediction

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