The focus of Schuppert Group ranges from hybrid modelling and next generation computational technologies up to quantum computing for applications in medicine and health care. Current application areas include intensive care, pain research, rare diseases and oncology. Throughout the SARS-CoV-2 pandemics, the Schuppert group contributed to the nationwide modelling activities with a focus on simulating the peak load for intensive care capacities.
The demand for intensive care medicine will strongly increase over the next years facing unmet medical needs, such as early diagnosis of the acute respiratory distress syndrome ARDS. The VP is a model-based system which relies on the physiological models of respiratory and cardiac system and allows personalized modeling of a patient physiology.
In contrast to the VP the DEA is a data-driven component which utilizes ML tools and will support the VP model in stratification of patients and parameters estimation for individual patients. These two components together build up a hybrid modeling system which will enable individual prognosis for a particular patient.
The roadmap will address the broad range of challenges to be tackled en route to digital twins from regulatory issues, high performance computing, computational technologies integrating AI and Systems Medicine up to clinical data. Use cases will demonstrate the route towards realisation of the potential of digital twins in health care. He studied Physics and got a PhD in mathematics from University Stuttgart, followed by research and development positions in chemical-pharmaceutical industry.
Since he is head of the Institute for Computational Biomedicine. His focus is on research and development of hybrid modelling technologies with focus on applications in intensive care, oncology, pain research. During the Covid19 pandemics he developed the DIVI prognosis tool and focused on pattern recognition in pandemic dynamics. Administrative Assistant Tel. He contributed to the modularization of a prognosis tool developed by Andreas Schuppert and completed his master's thesis focused on forecasting the number of age-stratified Covid infections in German states using LSTM networks.
