A new AI program developed by the University of Surrey can predict the symptoms of a patient’s cancer and their severity of the course of treatment. University scientists created two machine learning models which were able to accurately predict how severe three common symptoms of cancer: depression, anxiety and sleep disturbance.

The researchers looked at current data on the symptoms during the course of computed tomography x-ray treatment. They found that the patients’ reported symptoms were very close to those predicted by the algorithms.

Payam Barnaghi, Professor of Machine Intelligence at the University of Surrey, said: “These exciting results show that there is an opportunity for machine learning techniques to make a real difference in the lives of people living with cancer. They can help clinicians identify high-risk patients, help and support their symptom experience and pre-emptively plan a way to manage those symptoms and improve quality of life.”