Researchers at the University of California, San Francisco developed an adaptive deep brain stimulation system that senses step-related neural signals and adjusts stimulation within sub-second timesca…
Researchers have developed a machine-learning method that detects genetic epilepsy signals in seizure-free baseline EEG recordings, according to a study published in the Journal of Neural Engineering.…
Drexel University researchers analyzed over 4 million Reddit posts across 47 mental-health subreddits and found that users who interact with AI chatbots for task-oriented support, such as planning or …
A multidisciplinary team led by Professor Douglas Kelley at the University of Rochester used physics-informed neural networks to infer brain-wide glymphatic fluid velocities from MRI tracer videos. Th…