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.

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 ...

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

Your brain is constantly guessing what others think. Scientists just found the signal. In A Nutshell Researchers identified a specific brain signal that activates each time a person revises their ...

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

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 ...

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

In a recent study published in PNAS Nexus, researchers provide new insights into human cognition by prioritizing interpretability in predictive modeling of intelligence from brain connectivity, rather ...

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

A new neuroimaging study suggests that people who frequently control their dreams share distinct structural brain patterns. These networks bridge the areas responsible for self-reflection, visual ...