Stanford’s AI spots hidden disease warnings that show up while you sleep
Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns across the brain, heart, and breathing. It successfully forecast risks for conditions like cancer, dementia, and heart disease. The results suggest sleep contains early health warnings doctors have largely overlooked.
The popularity and wide use of weather forecasts has been largely attributable to the dramatic improvement in forecast accuracy. Such improvements have been quantified in recent research showing that modern 5-day weather forecasts are as accurate as 1-day forecasts in 1980. Disease forecasts are not nearly as accurate as modern weather forecasts,…
Sophisticated systems for the detection of biomarkers—molecules such as DNA or proteins that indicate the presence of a disease—are crucial for real-time diagnostic and disease-monitoring devices.