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Research and Development in our department focuses on exploring the potentials and addressing the challenges in biomedicine and healthcare. The foundation for this, as well as a key focus in itself, lies in the application and advancement of modern information technologies. We investigate and develop innovative solutions in close collaboration with clinical, academic, and industrial partners. This interdisciplinary and cross-sectoral approach enables us to drive fundamental research forward while also creating practical solutions for application in clinical practice. In doing so, we make a significant contribution to the medicine of the future.

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For students, doctoral candidates, and experienced researchers, our department offers opportunities to engage in a wide range of fields: from data acquisition and clinical decision support to the design and implementation of the necessary infrastructure, every aspect is covered. We are dedicated to advancing innovative technologies across various areas to enable and shape the future of medical progress.

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The following sections present exemplary research projects related to our various areas of focus. Our projects are typically interdisciplinary, often addressing aspects of multiple content areas. Consequently, research projects are frequently listed under more than one focus area.

The development and optimization of IT infrastructures in the field of medical informatics is crucial for the efficient use and secure exchange of medical data. A reliable IT infrastructure enables the networking of hospital and practice systems, the integration of different data sources, as well as the rapid processing and analysis of health information. We focus on the design and implementation of robust, scalable IT solutions that form the foundation for modern medical applications – for example, the establishment of a data integration center at the 威尼斯赌博游戏_威尼斯赌博app-【官网】 Hospital Augsburg. Particular emphasis is placed on data security, interoperability, the development of standards, and clinical decision support. IT infrastructures allow large amounts of data to be organized clearly and, through targeted visualizations and intelligent data preparation, support clinical decision-making. In this way, we actively contribute to improving the quality of care and support doctors and medical staff in making optimal decisions in patient care.

Models and simulations are crucial for understanding biological and (patho-)physiological processes and for developing modern diagnostic and therapeutic methods. We design mathematical and computational models that allow data-driven analyses of biological and medical systems. A central focus is the simulation of biological processes to predict the behavior of complex systems such as cell interactions, organ functions, and disease progression. These approaches enable virtual experiments that simulate medical studies and treatments, thereby making critical contributions to the development of new therapies and personalized medicine. Our research is grounded in interdisciplinary collaboration, combining expertise from computer science, mathematics, biology, and medicine to create innovative and practical solutions. Furthermore, we design models that support clinical decision-making and improve patient care through optimized workflows and tailored therapies.

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Data acquisition forms the foundation for diagnostics, monitoring, and therapy management. We explore innovative ways of gathering data and integrating them into clinical and everyday settings. Our focus is on implementing solutions that are user-friendly, meaningful, and sustainable. One example is wearables that collect multimodal data and, in combination with innovative image and signal processing methods—such as sensor data fusion—significantly enhance current capabilities.

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