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.

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, ...
Psychology Today

AI-Decoded Brain Signals May Help Paralyzed Regain Movement

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
EurekAlert!

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

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 ...