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.
OpenSim 2.0 promises greater opportunities for customization
Using software designed for stress testing in engineering, researchers have modeled an American sabercat's skull in the highest resolution vertebrate animal model to date.
To understand biology—and provide appropriate medical care—scientists need to understand interactions across multiple scales. Hence the Physiome.
3D images help physicians design appropriate interventions.
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.
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.