‘Living’ maps of disease that analyse vast amounts of health and patient-related data to see potential interactions between gene targets, expression and disease. Relationships are detected and analysed using machine learning and AI. By discovering previously unknown patterns in the data, scientists are able to draw better and faster conclusions across a range of complex diseases, for example, identifying new targets to prioritise.