As disease progresses over space and time in the body, high-resolution imaging can capture the changes taking place down to the sub-cellular level; meanwhile, huge sets of hereditary (genomic) information hold clues about the dynamics of illness. Comparing certain characteristics in the images with genomic and clinical data may be key in predicting disease progression and in targeting new treatments. The current work of a research team from Emory University in Atlanta and Oak Ridge National Laboratory at UT’s National Institute for Computational Sciences revolves around making those very connections. To read about the Keeneland project, visit the National Institute for Computational Sciences website.