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 ...

New MRI technique simultaneously maps multiple structural, physiological and molecular biomarkers to characterize brain ...

Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...

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 ...

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 ...

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 ...

Scientists use machine learning and SPERRFY to decode the genetic wiring map that guides neural connections across the entire ...

The Google corporation has grown up, maturing into a multibillion dollar company by the early age of 16. As the premier search engine, Google is easier to use and more popular than all others. But, ...

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer picture of how heroin affects the brain, potentially opening new doors for ...

How complex neural circuits are genetically designed and wired is a fundamental question in neuroscience. Scientists have ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

Machine learning has become integral to the automated interpretation of magnetic resonance imaging (MRI) of the brain, offering rapid, reproducible and objective support to clinical decision-making.