Almost 400,000 babies were born prematurely—before 37 weeks gestation—in 2018 in the United States. One of the leading causes of newborn deaths and long-term disabilities, preterm birth (PTB) is considered a public health problem with deep emotional and challenging financial consequences to families and society. If doctors were able to use data and artificial intelligence (AI) to predict which pregnant women might be at risk, many of these premature births might be avoided.
The Columbia Engineering community has come together to combat the coronavirus pandemic on multiple fronts. In close collabo-ration with the Columbia University Irving Medical Center, we’re leveraging our expertise and innovation to address short term medical needs and long term societal impacts.
Building Agile Machine Learning Models
Monday 4:00 pm
Register here - https://www.eventbrite.com/e/building-agile-machine-learning-models-tickets-152359293749
Richard Zemel, University of Toronto