'Outside-the-box' method of teaching AI models opens the prospect of finding new cancer treatments

A new'outside-the-box' method of teaching artificial intelligence (AI) models to make decisions could provide hope for finding new therapeutic methods for cancer, according to a new study from the University of Surrey. Computer scientists from Surrey have demonstrated that an open ended - or model-free - deep reinforcement learning method is able to stabilize large datasets (of up to 200 nodes) used in AI models. The approach holds open the prospect of uncovering ways to arrest the development of cancer by predicting the response of cancerous cells to perturbations including drug treatment. There are a heart-breaking number of aggressive cancers out there with little to no information on where they come from, let alone how to categorize their behavior. This is where machine learning can Dr Sotiris Moschoyiannis, corresponding author of the study from the University of Surreyprovide real hope for us all.