A new artificial intelligence system can predict the symptoms of cancer

Researchers from the British University of Surrey have come up with a new artificial intelligence system capable of predicting the symptoms and severity of cancer patients during a patient's treatment trip, allowing so doctors start treating these symptoms early.

In the first study of its kind, the research team of the University's Research Center on Vision, Speech and Importance explained having designed two artificial intelligence systems capable of accurately predict three common symptoms in cancer patients: depression, stress and sleep disorders. These three symptoms are associated with a marked deterioration in the quality of life of the cancer patient.

The research team analyzed the data already available on the symptoms of the cancer patient in the radiotherapy phase. The team relied on data spanning different time periods to determine whether the algorithms on which the artificial intelligence system is based can actually predict the onset of these symptoms or their emergence from the baseline.

The study, conducted in collaboration with the University of Surrey and California, San Francisco, showed that the results of the artificial intelligence system were very close to the real symptoms that occurred in patients.

"These exciting results show that artificial intelligence techniques have a real chance of improving the plight of people with cancer, and this can help," said Bayan Barnaghi, an Artificial Intelligence specialist for the company. University of Surrey. Physicians identify the patients most likely to develop symptoms and help them develop proactive treatment plans to treat and overcome these symptoms.