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.
From hardened software to scientific productivity, the NCBCs have changed the landscape for biomedical computing. What will happen when their funding expires?
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.
Interviews with Leonidas Guibas, Ron Shamir, Michael Black, David Haussler, Daphne Koller, Erin Halperin, Gene Myers, Paul Groth and Bruce Donald
Collaborations are a fact of life for interdisciplinary fields like biomedical computing, and social scientists can help researchers understand how to make them more productive
Pursuing the frontiers of systems biology in an interdisciplinary, non-academic enviroment
Many systems models are strikingly vulnerable to even small changes in the variables
What kinds of training opportunities are needed ?
Can the complexities of biology be boiled down to Amazon.com-style recommendations? The examples here suggest possible pathways to an intelligent healthcare system with big data at its core.