Meta's TRIBE v2 Creates a 'Digital Twin' of the Human Brain
New AI model predicts neural responses to any stimulus without scanning real brains, potentially accelerating neurological disease research
Tag
New AI model predicts neural responses to any stimulus without scanning real brains, potentially accelerating neurological disease research
New BrainGate brain-computer interface achieves near-able-bodied typing speeds using imagined finger movements on a virtual QWERTY keyboard
Rice University scientists used machine learning to map chemical changes across an entire Alzheimer's brain, finding widespread metabolic disruption beyond the amyloid plaques.
SIGNET platform identifies hub genes driving brain cell rewiring, opening new paths for early diagnosis and treatment.
Harvard team's foundation model trained on 49,000 brain MRIs outperforms specialized AI tools at predicting dementia risk, brain cancer survival, and tumor mutations.
Harvard researchers built a foundation model that extracts health signals from routine brain scans without requiring labeled training data, outperforming task-specific AI on seven clinical applications.
University of Michigan researchers built Prima, a vision language model trained on 200,000 brain scans that diagnoses 52 neurological conditions with up to 97.5% accuracy and triages emergencies in real time.