I am a NIHR Research Professor of Neurology. My research programme aims to develop a computer tool that will enable doctors to predict which medicines individuals with multiple sclerosis will respond better to. There are many licensed drugs that reduce the risk of relapses in multiple sclerosis, but doctors cannot predict which of these will work best for an individual. The decision about which drug to give to a patient is based on personal preference. Medications are changed if patients develop relapses, disability and adverse events. The goal of my research professorship is to develop a computer tool that predicts whether an individual patient will respond to a drug by taking into account all the elements that may influence treatment response, including demographic and genetic factors, blood biomarkers, MRI, diet, comorbidities and life style. We will use machine learning, which is a sub-area of artificial intelligence, to predict individual treatment responses. This crucial information will help doctors to select the most appropriate treatment for multiple sclerosis patients.