Sunday , May 9 2021

Your real age can be determined by bacteria in your body

Although your wrinkles, your notes, or your ID, it's not so important that the word given by the Sun's agent is so important: the way to falsify is less likely to be analyzing your microbial, that is, Bacteria in your intestine.

And this can be done in a simple way thanks to artificial intelligence.


Lead millions of gut bacteria control the digestion of food as the immune system works. Microbial is also a surprisingly accurate biological clock, Predicting the age of most people.

To find out how microbiomy changes over time, a longevity researcher Alex Zhavoronkov InSilico's physician, Rockville's artificial intelligence-based startup, examined more than 3,600 bacterial intestines from 1,165 healthy dwellings all over the world. A third of the people were between the ages of 20 and 39, the third person aged 40 to 59 and a third of the population aged 60 to 90.

After that Automatic study was used to analyze data. First of all, a deep learning algorithm was developed based on a model that affects neurons in the brain, 95% of the 95 samples in 95 bacteria, and the age of people coming. In the end, they asked the algorithm to predict the age of the remaining 10%.

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His program was able to predict age at 4 years old. Of the 95 bacterial 95 species, 39 were found to be the most important prediction age.

Zhavoronkov and his colleagues realized that some microbes were brewing Eubacterium halliibecause it is thought to be important for metabolism in the intestine. Others have dropped Bacteroides vulgatus, related to ulcerative colitis, a type of inflammation in the digestive tract. Diet changes, sleep disorders and physical activity probably accompanied by these changes in bacterial species.

Zhavoronkov says "the aging of the microbial clock" can be used as a basis for calculating slow or slow aging, and may be factors that may affect alcohol, antibiotics, probiotics or severe diets. . It can also be used to compare healthy people with those with certain diseases (such as Alzheimer's) to verify that microbes are deviating from the rules.

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