Artificial intelligence is expected to predict tumor lesions

Artificial intelligence is expected to predict tumor lesions

September 05, 2018 Source: Xinhua News Agency

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Xinhua News Agency, London, September 3 (Reporter Zhang Jiawei) A team led by British researchers published a report in Nature and Methodology, saying that machine learning technology can summarize some of the laws of tumor lesions based on a large number of cancer data. It is conducive to doctors to timely judge the development trend of the disease and carry out more targeted treatment.

Researchers from the London Cancer Institute and the University of Edinburgh obtained 768 tumor samples from 178 patients with lung cancer, breast cancer, kidney cancer and intestinal cancer, and obtained detailed variability data by analyzing different types of tumor samples.

The researchers said that they have developed artificial intelligence tools that can be analyzed using machine learning techniques to identify recurring features in tumor lesions, summarizing the rules, and combining existing information on cancer biology. Predict the possible mutations in the future of the tumor.

For example, for breast cancer patients, if there is a specific genetic variation, the protein "p53", which can inhibit tumor growth, cannot be produced normally, and accompanied by abnormality of chromosome 8, the probability of malignant lesions in the tumor is greatly increased. The patient's survival rate decreased.

If the doctor can know in advance whether the tumor is going to develop in the next step or whether it will develop resistance, it can take corresponding measures to curb and improve the survival rate of the patient.

The report's lead author, Andrea Sotoriva of the Cancer Institute, said that the headache of cancer is that it is always changing and difficult to predict, and artificial intelligence tools are expected to help people better understand This change involves intervention at an earlier stage of cancer.

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