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It's not news to hear that smoking is a horror for you. But if you're still looking for more inspiration to get into the New Year's habit, just remember that the intelligence (AI) judges you.
Reporting in the newspaper Scientific reports, researchers at the American biotech company Insilico Medicine have formed an AI algorithm to identify biological age differences between the blood of smokers and non-smokers.
In short, the IA thought that a young smoker was much older than his current biological age.
"On average, smokers were twice as old as their chronological age compared to non-smokers," the scientists wrote in their research article. "Male smokers were on average predicted to be one and a half times older than their actual chronological age compared to non-smokers."
However, it should be noted that this effect was observed only in smokers younger than 40 years old. The researchers then wrote: "Surprisingly, this effect disappears in older subjects."
The researchers provided the AI with a blood bank of 149,000 people, including 49,000 smokers, collected by routine blood tests. With the aid of machine learning techniques, he searched patterns based on 66 different blood biomarkers known to relate aging, including glycated hemoglobin, urea, and glucose levels. fasting, ferritin, etc.
After learning from all these data, the AI was then asked to guess the age of people based on their blood biochemistry. They found that the "machine to age" machine learning was accurate enough to judge the age of a healthy non-smoker. However, if a person smoked until the age of 40, it was expected that his biological age would be "significantly greater than his chronological age".
The chemistry of the blood is only one way among others to judge a person's biological age. Although this is the first study to use blood test results to quantify smoking-related aging, other studies have looked at the signs of aging, such as: epigenetic aging, regarding smoking. As you probably guessed, these results were also very damaging to smoking.
"I am pleased to participate in this study, which provides compelling scientific evidence that smoking is likely to accelerate aging," said Polina Mamoshina, Senior Research Scientist at Insilico Medicine. declaration. "Smoking is a real problem that destroys people's health, causes premature death and is often the cause of many serious diseases. We have applied artificial intelligence to prove that smoking significantly increases your biological age. "
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