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.

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

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 ...

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 ...

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

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

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

Advances in neuroscience now make it possible to develop treatments for psychiatric disorders through targeted brain interventions. However, designing effective protocols requires careful ...

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 ...