Research by Dr. Suchi Saria, Assistant Professor of Computer Science and Health Policy & Management and core faculty member in the Institute for Computational Medicine, was featured in the Winter 2014 Magazine of the Johns Hopkins Whiting School of Engineering for her use of machine learning techniques to improve the level of patient care in America’s intensive care units (ICUs).

“Using ICUs as her proving ground, Saria is wielding innovative machine learning tools aimed at making the health care delivery environment more ‘intelligent.’ Her project is one of the first funded at Johns Hopkins under a nationwide Moore Foundation initiative to improve patient safety with $500 million in grants over the next decade.

“An assistant professor at the Whiting School and the Bloomberg School of Public Health, Saria imagines an ICU where computers equipped with sophisticated algorithms help doctors make more efficient and accurate medical decisions, and where unobtrusive sensors alert hospital staff to potentially harmful errors.”