For decades, researchers have been trying to understand the biological roots of autism spectrum disorder (ASD), a common ...

Researchers developed FEDE, a high-fidelity digital brain twin pipeline that combines MRI-derived anatomy with biophysical ...

Medical image classification is essential for brain disease diagnosis 1,2,3,4. Modern medical imaging techniques such as magnetic resonance imaging (MRI) are popularly employed for brain disease ...

An AI model predicted cognitive decline in MS with about 90% accuracy using brain scans, clinical data, and demographics.

A specialized model used by researchers is becoming a valuable tool for studying human brain development, diseases and potential treatments, according to a team of scientists at Rutgers University-New ...

A research team from the International Research Institute for Artificial Intelligence at Harbin Institute of Technology, Shenzhen, has recently published a comprehensive review in the journal Health ...

Researchers have created one of the most detailed virtual mouse cortex simulations ever achieved by combining massive biological datasets with the extraordinary power of Japan’s Fugaku supercomputer.

Tiny lab-grown brain models and the particles they release may reveal hidden differences among Alzheimer’s patients.

Aging involves seemingly paradoxical changes in energy metabolism. Molecular damage accumulation increases cellular energy expenditure, yet whole-body energy expenditure remains stable or decreases ...

It may feel like the body keeps the score, but the brain is running the show, mispredicting danger long after the threat is ...