The project is part of a recently announced and highly ambitious research programme "Convergence for Health and Technology"
, a joint initiative of Erasmus MC and Delft University of Technology (TU Delft). The TU Delft, the highest ranked university of technology of the Netherlands, and Erasmus MC, the largest university medical centre in the Netherlands, together have the expertise, resources, facilities and drive to profoundly impact on the future of health and healthcare in the Netherlands and beyond.
This project aims at enabling earlier diagnosis of osteoarthritis (OA), improving prediction of OA progression and effects of interventions, and enhancing the understanding of underlying disease processes, using a comprehensive imaging-genetics approach. You will work on the integration of high-dimensional genomics and imaging data, design novel deep learning models for such data, and develop rigorous statistical learning methodology to derive powerful diagnostic, predictive and causal models. The project brings together worldwide experts in early diagnosis of OA, genomics of OA, as well as advanced mathematical modelling and image analysis. This expertise in combination with unique resources (the world largest longitudinal dataset on OA, and clinical trials through the OA-trial bank) creates an enormous opportunity to advance the field