Predicting an individual’s risk of ischemic stroke is difficult because thrombosis embolization—the process of a blood clot detaching from the area where it formed, traveling and then sticking in another blood vessel—is based on factors unique to each person.

In a study published in Cell Biomaterials, researchers developed a tool to address this challenge: an artery-on-a-chip platform that can replicate a patient’s specific vascular structure and blood flow dynamics, called a “physical twin.”

“This idea was born out of a critical clinical gap,” says author Lining Arnold Ju of the University of Sydney in Australia. “We know that even patients at ‘low risk’ can suffer from severe or fatal strokes. We wanted to find a better way to predict this risk.”