Friday, April 12 | 11:30am to 1pm | Location: Ruffner Hall G006

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More than six million motor vehicle collisions occur in the United States every year. And the varying degrees of injury can make it difficult for emergency responders and hospitals to triage patients and target care where it is most needed.

This is where data science can make a difference.

Join Dr. Thomas Hartka for a discussion on how he is using data science to predict the likelihood of injury after a crash and improve clinical outcomes. By incorporating these risk models into clinical care, medical teams have the potential to focus resources on patients most at risk for injury, saving money and saving lives.

This talk is part of the DSI Lunch & Learn Series sponsored by the Center for Innovative Technology.

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