Cardiovascular models are moving to the bedside
Advances in visualization changing work flows for understanding molecular dynamics, tracking cell movements, and designing interventional procedures
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.
To understand biology—and provide appropriate medical care—scientists need to understand interactions across multiple scales. Hence the Physiome.
University of California, San Diego’s Alison Marsden uses SimVascular to do patient-specific modeling of blood flow for surgical applications.
Machine learning for an artificial pancreas and deep brain stimulation
Modeling tumors' diversity
- 1 of 2