
Seeing Cancer’s Spread Through a Computational Window
Computational model allows researchers to simulate cellular-scale interactions across unprecedented distances in the human vasculature
Duke engineers are deeply engaged in improving the health of humans and our environment — from understanding and ameliorating disease at the molecular and genetic level, to developing technologies to improve global health, to exploring the interconnections between human health and environmental quality. A hallmark of our approach is extensive collaborations with leading physicians and scientists at Duke’s School of Medicine and Nicholas School of the Environment.
Computational model allows researchers to simulate cellular-scale interactions across unprecedented distances in the human vasculature
A new “digital twins” computational framework captures personalized arterial forces over 700,000 heartbeats to better predict risks of heart disease and heart attack
With two NIH Awards totaling $2.8 million, Daniel Reker of Duke BME will design machine learning models to improve the development of more effective drug delivery tools.