Sleep and identification of diseases Image Credit source: Getty Images
Now only blood test or scan will not be necessary to diagnose the disease. Scientists believe that a person’s sleep also hides many important signs related to his health. With this in mind, scientists at Stanford University have prepared a special AI system, which can predict the risk of future diseases by understanding sleep patterns. During sleep, signals related to brain, heart and breathing indicate the disturbances going on inside the body. With this new technology, it may be possible to identify diseases earlier, so that treatment can be started on time.
This research is based on understanding the deep connection between sleep and the internal activities of the body. With the help of AI, scientists have identified hidden health signals in sleep data, which may change the way medical tests are performed in the future. Let us know about this research in detail.
Discovery that identifies disease risk from sleep data
Stanford University In this research, scientists have found that sleep is not only a means of rest, but is also an important signal indicating the condition of the body. When a person sleeps, brain signals, heart beat, breathing pattern and body movements keep changing continuously. The AI system reads all these signals together and tries to understand whether there is any problem going on in the body.
Through this AI system, indications of heart disease, neurological problems, cancer, Parkinson’s, dementia and pregnancy related complications can be found. Research has revealed that certain sleep patterns may be associated with the risk of these diseases. This discovery is considered important because it gives indications of risk even before the disease occurs. According to scientists, through sleep the body itself tells the story of its health, which AI is now able to understand.
AI system created from the sleep of thousands of people
To prepare this AI system, scientists used sleep data of thousands of people. This includes information related to brain activity, heart rate and breathing recorded during sleep. AI learned from this big data which sleep patterns were normal and which patterns could indicate future disease.
As AI saw more data, its understanding became more accurate. This is the reason why this system not only tells the quality of sleep, but can also identify the changes going on inside the body. Researchers say that this technology can add a new chapter to medical science in future.
Necessary for future treatment and prevention
This research is considered important because it can identify diseases in the early stages. People often go to the doctor when the disease has become serious. If signs of danger are detected in advance through sleep, then timely precautions and treatment are possible.
Experts believe that this technology can become a part of health check-up in the future. This will help doctors understand the health of the patient and common people will also get a chance to be more aware about their sleep.