Attribut:Beschreibung-EN

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Accessing, managing and mining biomedical big data  +
Basics of medicine and principles of medical decision-making in diagnostics and therapy  +
Fundamentals of molecular biology, bioinformatics and computational biology  +
Statistical foundations of medical research and evidence-based medicine  +
Architecture of complex information systems for medical research and care  +
Management of complex information systems for medical research and care  +
Representing and modeling medical information and knowledge (incl. Ontologies)  +
Managing and processing medical signal/image data  +
Accessing, managing and mining biomedical big data  +
Documentation: Documentation Process  +
D0 +
Cross-domain competencies and softskills  +
D1 +
Basics of medicine and principles of medical decision-making in diagnostics and therapy  +
D2 +
Fundamentals of molecular biology, bioinformatics and computational biology  +
D3 +
Statistical foundations of medical research and evidence-based medicine  +
D4 +
Architecture of complex information systems for medical research and care  +
D5 +
Management of complex information systems for medical research and care  +
D6 +
Representing and modeling medical information and knowledge (incl. Ontologies)  +
D7 +
Managing and processing medical signal/image data  +
D8 +
Accessing, managing and mining biomedical big data  +
Data play an important role in medicine: Intensive care relies on monitors presenting and analysing real-time patient data, medical imaging has become a domain of massive data processing, diagnostics rely on laboratory data, and the importance of data is ever increasing: Wearable sensors, mobile communication devices and respective apps will produce data streams, which support preventive measures in healthy individuals or allow screening as a basis for data-based prevention of diseases. Last but not least: molecular biology (e.g. by gene sequencing and gene expression analysis) introduces new biomarkers, which enable new minimally-invasive diagnostics and approaches to tailoring treatments based on individual characteristics of patients (precision medicine) - which would never be possible without sophisticated processing of huge amounts of data. Medical decision making in general will be markedly influenced by data processing and data analytics. Thus, we can expect data driven medicine to gain momentum in the nearer future. This course offers a project-oriented, multidisciplinary introduction to the basics of data driven medicine. Orientation, fundamental concepts, and methodological approaches are provided by lectures. In addition, the participants will also form small interdisciplinary teams including students of computer science as well as medical students in order to plan and implement an own project, which targets prediction or decision support generated from medical data.  +