Articles about "neuroscience"

Recent research challenges widely accepted theories on how the human brain makes decisions, with potential implications for neuroscience and artificial intelligence. The findings may prompt a re-examination of how neural networks—both biological and artificial—process complex information.

Beacon Biosignals has developed an AI-driven EEG headband that monitors brain activity during sleep, offering new opportunities for diagnosing and treating neurological disorders outside traditional labs. The technology, already used in numerous clinical trials, provides high-quality data for drug development and disease detection.

Researchers have demonstrated that artificial neurons can successfully communicate with living brain cells. The findings mark a significant step in the integration of artificial intelligence with biological systems, potentially advancing treatments for neurological disorders and brain-machine interfaces.

A new study has used artificial intelligence to reveal previously undetected chemical changes in the brains of individuals with Alzheimer’s disease. The findings go beyond the traditional focus on amyloid plaques, offering fresh insights that could inform future research and treatment. The work highlights AI’s expanding role in analyzing complex biological data.

Researchers have employed artificial intelligence to pinpoint hidden genetic control centers implicated in Alzheimer’s disease. These findings may provide new avenues for understanding disease mechanisms and developing targeted therapies. The innovation highlights the growing role of AI in advancing medical research.

Researchers from MIT, Harvard University, and Massachusetts General Hospital have developed an AI tool that automatically identifies eight key white matter bundles in the brainstem using diffusion MRI. The BrainStem Bundle Tool (BSBT) shows promise for tracking disease progression in neurological conditions and is now publicly available.

New research reveals that two-month-old infants possess the ability to make sense of the world around them, challenging previous assumptions about early cognitive development. The findings open new avenues for understanding human learning and perception at the earliest stages of life.

A recent study explores the potential of a simple drug combination using THC as a treatment for Alzheimer's disease. The research examines how this approach may impact neurological functions but does not involve artificial intelligence. The article has minimal relevance to AI topics.

Researchers have uncovered a previously undetected mechanism in the brain that underpins memory loss in Alzheimer's disease. Using artificial intelligence and neural network analysis, scientists identified a breakdown in communication pathways, shedding new light on potential diagnostic and treatment strategies.

A team of researchers has discovered a critical survival mechanism within brain cells, providing new insight into cellular resilience and potential applications for artificial intelligence and neurological research.