A closer look at the curation of models discussed in The Physiome: A Mission Imperative
The importance of developing and deploying tools for the quantitative clinician scientist
Multi-scale modeling is now at what might be called its gestational stage
Models of healthy and diseased lipid profiles could prove valuable diagnostically.
Several big-dollar initiatives received NIH funding in late 2010
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.
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.