Deep-learning models analyzing MRI scans predict brain age, cognition, and amyloid pathology with high accuracy—offering a ...

They found that graphics processing units (GPUs) are far better at simulating biological learning than ... created powerful deep neural networks (DNNs) that emulate human brain function.

Genes are known to play a crucial role in shaping how the brain ages. In this study, researchers used deep learning ... for brain aging. The 3D-ViT model accurately predicted the biological ...

In the team’s report, titled “Deep learning to quantify the ... MRI scans to non-invasively measure the biological age of the brain. The earlier model used AI analysis to compare a patient ...

Researchers identified 64 genes that help to shape how quickly a person's brain ages, which could explain the gap often observed between the estimated biological ... aging. Using a deep-learning ...

The human brain holds many clues about a person’s long-term health — in fact, research shows that a person’s brain age is a more useful and accurate predictor of health risks and future ...

Now, scientists in Japan have developed an AI biological age ... that, using nothing more than five drops of blood. Created by a research team at Osaka University, this deep-learning model ...

Chronic pain conditions, long-lasting medical conditions characterized by persistent pain in specific areas of the body, are ...

Seven genes have been linked to particularly fast ageing of the brain – but 13 drugs and supplements might reduce their effects. The activity of many genes contributes to the difference between ...