Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals ...

The hardware isn't new, but a UC Davis research team's machine learning-powered method of translating brain activity in an ...

A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of ...

A study led by Georgia Institute of Technology's Associate Professor Costas Arvanitis takes a major step toward safer and ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan. The study ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia, according to a study led by UC San Francisco and Beth Israel Deaconess ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

Every time you master a new recipe, remember a phone number, or finally figure out how to fold a fitted sheet, your brain is learning. But new research shows that the brain learns in a more complex ...

A new study reveals how AI analyzes routine retinal eye photos to predict Alzheimer’s lifestyle and biological risk factors decades early.