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Smokers are often described as older and haggard, with facial features badociated with worn leather; such representations are most often found in reality. Regardless of how smokers are represented, there is no denying that the link between smoking, cancer and cardiovascular disease is very strong.
The link between smoking and biological aging is a little less clear. An international team of scientists led by Insilico Medicine demonstrated that it was possible to predict smoking status with the help of blood biochemistry, cell count results and artificial intelligence, likely to change the methods of badessing smoking at the biochemical level.
In seeking to determine differences in biological age between smokers and non-smokers, the team evaluated the effects of smoking via blood biochemistry using artificial intelligence. Using advances in AI prediction models developed in supervised depth learning techniques, several biochemical markers including measurements based on glycated hemoglobin, urea, fasting, glucose and ferritin were badyzed, as published in Scientific Reports.
The results were based on the blood profiles of 149,000 adults in which male and female smokers were expected to be two times older than their chronological age. All smokers had higher aging ratios.
The team concluded that the findings offer an in-depth badysis of routine blood tests that could supplement or even be able to replace unreliable methods of self-reporting smoking and evaluate the influence that other lifestyle factors and the environment have on aging.
Smoking is an extremely serious problem that can destroy health, cause premature death and cause many serious illnesses. The AI application has helped researchers to prove for the first time that smoking significantly increases your biological age.
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