Escalating stress prevalence, particularly among essential service personnel whose cognitive compromise threatens public welfare, necessitates rapid, accessible non-pharmacological interventions. Individuals who struggle with endogenous cultivation of beneficial neuropsychological states may benefit from passive exogenous stimulation. This uncontrolled exploratory investigation (n = 74)...
Clinical trial failures are frequently driven by patient heterogeneity and limited sample sizes that obscure treatment effects by diluting statistical power. We introduce NetraAI, a novel explainable artificial intelligence (AI) platform that integrates dynamical-systems modeling, evolutionary long-range memory feature selection, and large-language model (LLM)-generated insights, to discover...
At the forefront of bridging computational brain modeling with personalized medicine, this study introduces a novel, real-time, electrocorticogram (ECoG) simulator, based on the digital twin brain concept. Utilizing advanced data assimilation techniques, specifically a Variational Bayesian Recurrent Neural Network model with hierarchical latent units, the simulator dynamically predicts ECoG...