AI studied the effect of radioactive radiation on astronauts

Scientists from the Frontier Development Lab (FDL) and Intel AI Mentors have focused on studying the physical condition of astronauts to

find out how they are affected by radiationthe radiation they receive while working in space. To do this, specialists for the first time used an AI model and developed an algorithm that independently finds markers of cancer development. The algorithm was trained on a large data set - images of irradiation of mice and people.

To do this, scientists first had to prove thatradiation affects rodents in the same way as humans. After that, they were able to take as a basis an AI model and accurately predict what would happen to genes that were exposed to radiation.

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At the same time, data on how much harmcosmic radiation, almost never published. Therefore, the researchers had to gain access to classified information about the astronauts. To do this, Intel and FDL specialists developed a causal machine learning algorithm - they were able to train AI by loading their data into it.

To obtain information, we used the clouda platform used by experts from NASA and the Mayo Clinic. The primary analysis was carried out locally, and the results were sent to a central repository for joint study by researchers.

Scientists noted that radiation canbe very toxic to astronauts. It penetrates several layers of steel and affects all fabrics. This leads to complications, the most dangerous of which is the risk of cancer.

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