Machine learning could reduce testing, improve treatment for intensive care patients

Wednesday, Jan 16, 2019
by Molly Sharlach

Doctors in intensive care units face a continual dilemma: Every blood test they order could yield critical information, but also adds costs and risks for patients. To address this challenge, researchers from Princeton University are developing a computational approach to help clinicians more effectively monitor patients’ conditions and make decisions about the best opportunities to order lab tests for specific patients. Read more here.