One of the projects I’m working on involves using data driven approaches to try and understand and reduce the side effects that patients experience after radiotherapy treatments for cancer. To do that we look at the genetic variation in patients that have undergone radiotherapy treatment together with as much other information about these patients as we have available, such as clinical factors. We then look for patterns in that data that help to predict which patients are more or less likely to suffer radiotherapy side effects. It allows us to suggest for new patients, how to tailor treatments to minimise side effects that they might suffer. Beyond predicting treatments for patients, we also want to understand at a biochemical level how genetic variants affect the outcomes for patients. Ultimately, the more we understand about the various kinds of cancer treatments there are out there the more we can do to try and minimise the risk for patients who might suffer side effects.