An artificial intelligence model that can measure how fast the brain ages has been developed.
2 / @golahura
An artificial intelligence model that can measure how fast the brain ages has been developed.
As artificial intelligence models developed, their areas of use also became widespread. Science was one of them. Now, researchers from the University of Southern California in the USA have developed an artificial intelligence model that can detect how fast our brain ages.
This model, which is considered the first of its kind, can be used to prevent and treat problems such as dementia by measuring the rate of aging of people's brains. The study was published in the Proceedings of the National Academy journal on February 24.
According to Webtekno, it makes much more accurate measurements using MRI scans than traditional methods. The tool analyzes data using magnetic resonance imaging (MRI) scans. In this way, it can monitor the speed of changes in the brain and detect the rate of aging of a person's brain.
According to the researchers, the acceleration of the brain's age is proportional to the risk of cognitive impairment. Therefore, such a model is of great importance. Associate Professor Andrei Irima, one of the authors, said, “This is a method that can completely change the way we monitor brain health both in the research laboratory and in clinics. “It can be very useful to know how fast someone’s brain ages,” he said.
A person’s biological age and chronological age can differ from each other. For this reason, rapid aging of the brain can lead to diseases that occur earlier than your normal age. According to the researchers, the new model aims to prevent this.
The model was trained on more than 3,000 MRI scans collected from cognitively normal adults. Unlike traditional measurement methods, it uses a method called “longitudinal” and analyzes and compares initial and follow-up MRI scans taken from the same individual. In this way, it can more accurately estimate the rate of aging. It was also seen to give accurate results in tests conducted on 104 healthy individuals and 140 Alzheimer’s patients.