Xinhua news agency, London, July 21 (reporter Zhang Jiawei) - a British research team recently reported in the British journal Nature communications that they can better analyze the oncogenes of esophageal cancer with the help of artificial intelligence technology. Based on these new discoveries, it is expected to improve the efficiency of diagnosis and treatment of this kind of cancer in the future.

Esophageal cancer is a common digestive tract tumor. This kind of cancer often does not show any symptoms in the initial stage, and there are many oncogenes, which makes the corresponding treatment more difficult.

Researchers from Francis Crick Institute and King's College London have developed a new machine learning algorithm, which can more accurately identify and classify esophageal cancer oncogenes.

The research team used this artificial intelligence technology to analyze the genes of 261 patients with esophageal cancer and found 952 related genes. Based on the different characteristics of these genes, the researchers divided the patients into six categories, and different treatment schemes can be adopted for different types of esophageal cancer in the future. Personalized treatment may achieve better results than monotherapy.

Francesca chicarelli, the main author of the report and a scholar at the Francis Crick Institute, said that the team hopes to use this method to further analyze the characteristics of the early stage of esophageal cancer and find the genetic root causes driving the occurrence of the disease, so as to realize early diagnosis and carry out personalized treatment in the future.