A cardiologist created a computer simulation of a patient’s blood flow, helping surgeons locate the best placement of a stent to address her rare heart condition. Students and faculty developed a mobile app that helps predict which Flint neighborhoods are at high risk of having lead-contaminated water. And an engineer is using predictive models based on high volumes of diverse transportation data to synchronize buses and light rail with a fleet of driverless vehicles. All three projects highlight how U-M researchers are using “big data” and human-centered computing to help improve lives. Read more in this article by Alex Piazza for Michigan Research.
