With the advent of large-scale biobanks, there are multiple “layers” of big data available (e.g., genomics, imaging, electronic health records). What are the most effective ways of integrating these layers to understand patterns among human diseases, especially when not all layers are measured on the same set of samples? Can we use the information gleaned to better predict risk of disease?

Presenter: Sudha Veturi  |  Biobehavioral Health and Statistics