Scientists at the University have created a new human tissue model that tracks how glioblastoma, an aggressive brain tumor, infiltrates surrounding brain tissue. The research aims to address the challenge of tumor recurrence after surgery, when remaining cells cause the cancer to return.
Meta AI researchers have developed Brain2Qwerty, a deep learning model that non-invasively decodes typed sentences from brain activity using external sensors, achieving an 18% character error rate. The breakthrough, published in Nature Neuroscience, represents a significant advance toward non-invasive brain-computer interfaces for communication.
Analysis of human brain tissue shows microplastics and nanoplastics are present in both tumor and healthy samples, confirming their ability to cross into the brain, though their concentrations, distribution, and direct health effects remain uncertain and require further study.
