Overview

Research at the

• Institute of Artificial Intelligence (AI) seeks to advance biomedical research and clinical practice through methods development, applications, and teaching in machine learning and artificial intelligence. The AI Institute is led by Christoph Bock, Professor of Medical Informatics at the Medical University of Vienna and Principal Investigator at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences. The AI Institute also hosts the research groups of Georg Dorffner with a focus on machine learning-based prediction models and deep learning for signal processing and Matthias Samwald with a focus on advanced trustworthy AI systems. Details ...
• Institute of Clinical Biometrics covers methodological research in the fields of statistical modeling, prediction, causal inference, survival analysis, and analysis of high-dimensional (omics) data. The Institute applies biostatistical methods in clinical cooperation and develops innovative methodology for biostatistical applications. Details ...
• Institute of Medical Statistics develops statistical methodology for innovative clinical trial designs including adaptive designs, multiple hypothesis testing and regulatory statistics. Other main research topics are high dimensional data analysis, model selection and epidemiological studies. The Institute engages in the design and analysis of clinical trials in numerous collaborative projects with clinical researchers. Details ...
• Institute of Medical Information Management covers the documentation, communication, and retrieval of medical information, visual data analysis and medical imaging with a focus on patient-centered, cross-organizational health information. Current research topics include the standardization of electronic health records, information retrieval, reuse of health information, and visual data analysis and image processing in medicine. Details ...
• Institute of Outcomes Research conducts methodological research in the areas of patient-reported outcomes, complex indices, mixed methods, activity and motion analyses, as well as outcomes in health services research, patient-centered care and assistive technologies. The collection of data is optimized with sensor technologies and e-Health solutions. Furthermore, qualitative research methods are developed and applied. Details ...
• Institute of the Science of Complex Systems deals with quantitative complex systems research. The research topics include complex living matter (artificial cell, genomics, biological time-series), complex social systems (statistical measures of societies, financial markets, efficiency and bureaucracy), and physics of social systems (statistical mechanics, network theory, systemic risk, physics of evolution). Details ...