A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...

The National Institutes of Health has renewed support for Artificial Intelligence for Alzheimer's Disease, or AI4AD. The new $12.6 million award to advance the project's next phase, AI4AD2, brings its ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia ...

Specific EEG features tied to brain age are already known to support memory and overall brain function. These include delta ...

AI analysis of 500 stroke survivors reveals that the brain compensates for severe injury by "rejuvenating" undamaged regions.

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 ...

STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...

People whose brain age is older than their actual chronological age by 10 years may have a 39% higher future risk of dementia ...

The human brain constantly makes decisions. It requires minimal power to move bodies in a desired direction or avoid an ...