A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Using machine learning to guide microscopes could reveal greater insights into the brain's connectome and deepen our ...

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 Bell Jar project team at UC Santa Cruz: from left to right are postdoc Richard Dickson, graduate student Matthew Jacobs, Alec Soronow, and Euiseok Kim. (Photo by Carolyn Lagatutta) UC Santa Cruz ...

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 ...

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 ...

"Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." A new package of papers examines the largest map yet of mammalian brain tissue. The map shows one cubic ...