George Lee, research assistant professor in the Center for Computational Imaging and Personalized Diagnostics (CCIPD), received a three-year K01 award through the National Institutes of Health Big Data to Knowledge (BD2K) initiative.
His $245,823 project is titled "Big data convergence of pathology and omics for disease prognosis.”
The project will focus on the development of novel big data tools for processing of two key large-scale data streams:
- High-resolution digital images that capture pathology architecture and tissue morphology, and
- A large set of molecular markers (DNA, protein, RNA expression) found within the disease site.