Future of Medicine

The personalised patient care of the future will require comprehensive diagnostics and imaging to enable earlier and more precise diagnoses. To this end, diseases are characterised at the molecular, cellular and systemic levels. Furthermore, integrative diagnostic solutions are being developed that combine different imaging techniques to create the basis for holistic patient assessments and tailored treatment strategies. To ensure that diagnostic information, such as image data, can be comprehensively evaluated, users apply and researchers develop new technologies from the fields of artificial intelligence (AI) and machine learning (ML). In this interdisciplinary field, the Medical Science and Technology (MedST) profile area, in collaboration with the ‘Leonardo’ project, offers this course to provide students from all departments with an insight into the world of modern diagnostic approaches. The content covers technological as well as medical and social perspectives.