March 22, 2019

We are delighted to report that images from a recent paper from our group, Machine learning-based prediction of clinical pain using multimodal neuroimaging and autonomic metrics (Lee et. al., 2109), is featured on the front cover of the March edition of PAIN! This research explored novel analyses and techniques for assessing pain states in chronic low back pain patients by applying machine learning classification algorithms to brain imaging and physiological data. Read more and access the full article here.