A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions, including dementia.

A Stanford AI model trained on nearly 600,000 hours of sleep data can assess future risk for dementia, heart disease and more ...

AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

Biological communities are rarely stable. Their composition is constantly changing, depending on the environmental conditions in the respective ecosystems—and sometimes this change is so vast that ...

Scientists at Pompeu Fabra University (UPF) have made a great leap forward in predicting the risk of hip fracture among women due to osteoporosis. They have discovered that it is not necessary to ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...