Russian scientists have developed an AI system that is able to calculate the biological age and name the likelihood of premature death.
According to professionals, AI is able to estimate non-invasively the biological age of people and the probability of death. It is reported that this algorithm does not require medical research data.
This will make it possible to determine how old or young the tissues and organs are, and also the difference between biological and calendar age. Discrepancies between calendar and biological age, according to biologists, will help doctors determine whether to pay special attention to the health of patients, as per online news portal, tvoygorodpskov.ru.
At present, artificial intelligence is used to analyze cardiograms, determine biological age, diagnose diseases and many other medical data. Trained so the neural network was able to identify dangerous trends, linking sequentially repeated movements with information from the medical records and analyzes and revealed from the total number of volunteers those who have an increased risk of premature death.
In the development of the project, the National Health and Nutrition Examination Survey (NHANES) program were involved. The database contains information on how people with different health conditions moved during the uninterrupted wearing of a fitness tracker: how often they moved from motion to rest, how many steps they made, and what intensity of exercise was maximum.
Russian scientists representing the biotechnology company Gero, say that the neural network will warn people about the deadly risk.
For example, AI demonstrated that in diabetes, the risk of death increases by 15 percent, which reduces the lifespan by about five years. With the help of deep learning algorithms, the neural network was trained to identify unfavorable tendencies to link certain patterns, repetitive movements with the data of medical histories and analysis indicators, as per tvoygorodpskov.ru.
The people will be able to independently analyze their own health condition and attend medical personnel prematurely until serious complications arise. The company developed a prototype of a mobile application based on the algorithm, Gero Lifespan, a beta version of which can already be installed on a smartphone.