Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Researchers found that a game could help scientists understand how second language learners learn a new language, and could even help them learn it faster.
Researchers have developed a system for integrating artificial chip-based 'neurons' with real neurons using QR-code-like patterns of light to facilitate communication.
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
The UNC School of Medicine lab of Jason Franz, PhD, created virtual reality experiments to show how a potentially portable and inexpensive test could reduce falls and related injuries in people with multiple sclerosis.
Researchers demonstrated a methodology that combines the bioprinting and imaging of glioblastoma cells in a way that more closely models what happens inside the human body.
Using a robot to treat brain aneurysms is feasible and could allow for improved precision when placing stents, coils and other devices.
Research confirms the efficiency of using computer-based programmes and virtual reality for improving children's attention and social skills.
The first Parkinson's patient worldwide was treated with a new neurostimulator, which enables better, more personalized care for patients.
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.