A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.
A wearable brain-machine interface system could improve the quality of life for people with motor dysfunction or paralysis, even those struggling with locked-in syndrome.
Researchers recorded VR users' brain activity using electroencephalography (EEG) to better understand and work toward solutions to prevent cybersickness.
Researchers aim to speed up developing drugs against brain diseases through cutting-edge technology. They are generating an innovative technology platform based on high-density microelectrode arrays and 3D networks of human neurons.
Experts at Kessler Foundation led the first pilot randomized controlled trial of robotic-exoskeleton assisted exercise rehabilitation effects on mobility, cognition, and brain connectivity in people with substantial MS-related disability.
Scientists have used an implanted sensor to record the brain signals associated with handwriting, and used those signals to create text on a computer in real time.
Medtronic partners with Surgical Theater to provide the first augmented reality platform for use in real-rime during complex cranial procedures.
BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Using virtual reality, researchers found that people differ in how much they are influenced by their visual environment.
Revealing details of the internal structure of 'mini-brains' could help accelerate drug studies and may offer alternatives to some animal testing.