A biomarker signature using brain activity measurements predicted pain sensitivity. The signature combined sensorimotor peak alpha frequency and corticomotor excitability. The study involved 150 ...
Siobhan Schabrun, Health Sciences professor, and David Seminowicz, Schulich Medicine & Dentistry professor, (L to R) are advancing ways to predict chronic pain. In an international effort, researchers ...
A novel biomarker signature may offer a more objective way of predicting pain sensitivity, new research suggested. Investigators utilized the biomarker, which consisted of two measures — sensorimotor ...
In an international effort, researchers at Western, the University of Maryland School of Dentistry (UMSOD) and Neuroscience Research Australia (NeuRA) uncovered how specific patterns in brain activity ...
A Mayo Clinic retrospective study of 9,731 patients explored the potential of artificial intelligence (AI) to predict a patient's need for opioid refills after surgery. The study used deep learning ...
In an international effort, researchers at Western University, the University of Maryland School of Dentistry (UMSOD) and Neuroscience Research Australia (NeuRA) uncovered how specific patterns in ...
This is a syndicated post stub. Clinical Advisor, a trusted source of medical news and feature content for healthcare providers, offers clinicians insight into the latest research to inform clinical ...
Researchers have uncovered how specific patterns in brain activity can predict an individual's sensitivity to pain, expanding opportunities for improved pain management strategies. In an international ...
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