This article explores our preliminary analysis of a novel approach to chronic pain detection leveraging electroencephalographic (EEG) biomarkers. As part of the discovery stage of our effort, we developed BRAINGNNet: a graph model and a framework that integrates brain topology with EEG channel read and extracted features using data from publicly available studies and data sets.

Organizations across various verticals, small and large, transitioning from NIST CSF version 1.1 to version 2.0 must address new and expanded requirements, and face unique challenges in staying compliant.