BrainScope's EEG-Based Biomarker Predicts Dementia Risk Up to 7 Years Before Initial Diagnosis, Published in Nature Scientific Reports

Non-invasive EEG biomarker identifies risk of future cognitive decline long before diagnosis, reinforcing BrainScope's strategic focus on early, actionable dementia detection. ROCKVILLE, ...

Professionals Unlock Hidden Signals of the Mind with Electroencephalography (EEG)?

Discover how Electroencephalography (EEG) records brain activity to diagnose epilepsy, strokes, and sleep disorders. Learn ...
clinicaladvisor.com

Deep-Learning Model Uses Sleep EEG Data to Predict Cognitive Function

A deep-learning model achieved significantly higher accuracy and F1-scores for both Cognitive Abilities Screening Instrument and Digit Symbol Coding Test. A deep-learning model vs a comparison model ...
BioWorld

Encephalogix reveals machine learning for EEG analysis

The first patenting from Encephalogix Inc. details its development of platform that uses machine learning and AI to analyze EEG data that is typically ignored.
EurekAlert!

Attention detection using EEG signals and machine learning: A review

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...
Hub

Native Italian speakers needed for an EEG study at JHU's Homewood campus

We are looking for native Italian speakers to participate in an EEG study at Johns Hopkins University, where participants will be asked to engage in a reading task, as well as a passive viewing task ...