In a recent article in Inverse Innovation, ICM core faculty member, Suchi Saria, discusses her research which uses machine learning algorithms to tailor treatment and improve outcomes for clinical patients. “With machine learning — a type of A.I. that gives computers the ability to learn — we can predict how diseases and treatments will impact patients,” says Saria, who is assistant professor of computer science, health policy, and statistics.

Dr. Saria, whose research focuses on algorithms that can detect health risks in premature newborns and septic shock, presented her findings at the 11th Annual Machine Learning Symposium recently at the New York Academy of Sciences. In the article, Dr. Saria shares her findings and their life-saving applications in health care.

Read more at Inverse Innovation.