Suchi Saria, PhD, MSc joins an impressive list as one of MIT Technology Review’s 2017 “35 Innovators Under 35” for her work using algorithms to predict sepsis risk.
Sepsis is a challenge for health care providers as it can be a tricky, sudden and often swiftly fatal condition. Saria’s algorithm correctly predicted sepsis in 85 percent of cases—a vast improvement over current methods. MIT Technology Review’s accolade is awarded to individuals whose “technology solutions ... directly improve, and sometimes save, people’s lives.”
Saria is an assistant professor at the Whiting School of Engineering with joint appointments to Health Policy and Management and Biostatistics at the Bloomberg School of Public Heath.
She is also core faculty with the Center for Population Health IT (CPHIT), the Center for Health Services and Outcomes Research (CHSOR) and the Armstrong Institute for Patient Safety and Quality.
WATCH SARIA’S 2016 TEDxBOSTON TALK
Congratulations to #JHSPH's Suchi Saria for being named one of @TechnologyReview's 35 Innovators Under 35 for her life-saving work in using algorithms to predict sepsis risk. With this award, Saria joins the ranks of the teams leading pioneering work with CRISPR, as well as the co-founders of @Google, @Facebook and many more innovators around the world! At @JohnsHopkinsU, Saria leads a team of researchers using algorithms to develop a machine that will spot patterns in patient information compiled by hospitals. By evaluating these patterns, Saria's team will work to predict each patient's risk for developing sepsis, the 11th leading cause of death in the U.S. "It's a real honor to be included here," says Saria. "Research can be lonely and even a little scary when we're going in a new direction. It's nice when somebody out there sees what we did and thinks it was worth doing."
@johnshopkinssph
