Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.

Using machine learning, researchers are able to use data from the brain to glean deeper insights and apply this new knowledge in clinical settings. The findings will be presented on Monday, November ...

Scientists at Rice University have produced the first full, dye-free molecular atlas of an Alzheimer’s brain. By combining ...

Researchers use MEG imaging to show that the brain reactivates "forgotten" memories, but they only reach consciousness if they pulse at a specific rhythm.

Researchers used AI and deep learning to find a link between brain structure and navigation skills but found no measurable ...

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 ...

NYU Langone neuroscientists identified the brain region likely responsible for recognizing images after seeing them once, ...

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 ...

Healthcare leaders have spent years trying to figure out how to manage the rising cost of aging, especially when it comes to ...

Steven Weisberg, a researcher at the University of Texas at Arlington, found that advanced artificial intelligence tools could not uncover a clear link between brain structure and navigation ability ...

What can a honey bee tell us about human learning? According to researchers at Virginia Tech and Arizona State University, ...