A Chinese artificial intelligence system predicts the repetition of liver cancer

A Chinese research team has developed an artificial intelligence tool capable of predicting the risk of recurrence of liver cancer with an accuracy of 82.2 percent, according to a recently published study in the journal “Nature”.

Liver cancer is the third largest cause of cancer -related deaths all over the world, as the repetition of infection after surgery reaches 70 percent. The exact prediction of repeating the infection was a very important challenge.

According to the China News Agency (Xinhua), today, Monday, researchers from the University of China for Science and Technology, led by Sun Chang, have developed an evaluation system called “Times”, which measures the spatial distribution patterns of immune cells within the microscopic environment of the tumor to assess the possibility of relapse. This system is the world’s first tool to predict the repetition of liver cancer to integrate spatial immune data.

The study showed that the spatial organization of the immune cells, not just its quantity, is what determines the clinical results. By combining spatial transitarometer, protein science and multi -spectrum textile chemistry and spatial analysis based on artificial intelligence, the team created a new way to assess the exact environment of the tumor. The system was trained using liver tissue samples taken from 61 patients.

The researchers made a free version via the Internet of the system for evaluating the spatial distribution patterns of immune cells within the exact environment of the tumor “Times”; It allows users around the world to download immediately risk assessment images.

Sun Chang, the leader of the Chinese research team, explained that the latter aims to provide a revolutionary tool to make decisions to help doctors improve individual treatments, especially in limited resources.

Cheng added that they are currently cooperating with industry partners to unify clinical applications.