Big Data vs. disease

By | January 25, 2017
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Researchers at U-M will use Big Data and mobile technology to learn how to predict when individuals will get diseases, and to unlock the potential of single-cell gene sequencing under three recently funded projects. The Michigan Institute for Data Science awarded the three interdisciplinary projects a combined $3 million under the second round of its Challenge Initiative program. “These projects have the potential to improve the lives of millions of people and to enhance our understanding of the basic elements of cell biology,” said MIDAS co-director Brian Athey, professor and chair of computational medicine and bioinformatics. “Plus, the data science tools and methodologies being developed by the U-M research teams will be applicable for many other fields of inquiry.” Other funded projects include using Big Data from social media to gain new insights into economics and the way people communicate about parenting and politics.