Connectivity Map helps connect drugs and diseases
The complexity and variability of aging itself, along with the fragmented nature of researchers’ current understanding of aging, call for tools that can help scientists dig through mounds of data to find often subtle connections.
Simulations can teach us how young bodies and faces develop; how an artery compensates for decades of fatty plaque deposits by growing and thickening its walls; how tissue engineers can best coax endothelial cells to develop into organized sheets of skin for burn patients; and how cancerous tumors invade neighboring tissue.
Mouse hair development patterns follow Turing's predictions
With ClusterEnG, users can explore their data using multiple clustering algorithms
Principal component analysis of gene expression signatures may help determine prognosis
With enough images and associated data, researchers hone in on more effective ways to diagnose and treat brain disease
Supercomputers open up new horizons, offering the possibility of discovering new ways to understand life’s complexity