Artificial Intelligence (AI) is usually built with silicon chips and code. But scientists are now exploring something very different. In 2025, they are growing brain organoids, which are small, living ...

When it comes to the human memory, many mysteries remain, but a new study is helping to solve some of them by peering into ...

The idea of using UPEs to monitor the brain has an intriguing advantage over current imaging tools. PET scans, fMRI, and even ...

The “missing link” helps adults grow new neurons—something long thought to end after childhood—and that discovery could lead ...

A new model reads brain signals to identify memory categories, which could help develop memory-restoring tools for cognitive ...

A study suggests that a single brain MRI can be used to predict a person's rate of aging across their whole body, which ...

Dr. Sun's groundbreaking work centers on developing "spatial aging clocks" – sophisticated machine learning models capable of measuring biological age at the individual cell level.

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 ...

A new study has demonstrated that a tiny bundle of optical fibers can continuously, accurately, and simultaneously measure six biomarkers of brain health, helping to prevent serious complications ...

Led by researchers at NYU Langone Health, the new study used an AI technique called machine learning to analyze thousands of MRI brain scans from 471 men and 560 women.

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a “brain tsunami.” UC’s Jed ...