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Neurology
Patient data was standardised and analysed for early detection and precise prediction of the course of multiple sclerosis. This enables the timely initiation of customised therapies. At the same time, the Parkinson’s application case improved understanding and individualised treatment by opening up new analysis options through access to external data.
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Oncology
The exchange and joint analysis of clinical and biomedical data – e.g. on genetic changes in tumours – helps doctors to treat cancer more effectively. The aim is to personalise cancer medicine even more across Germany in line with the National Decade Against Cancer.
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Cardiology
Modern IT processes combine complex biosignals (such as ECG data) with diverse clinical information (such as blood pressure values and medications) to create a wealth of data. The analysis of this data should help doctors to identify risks for cardiovascular diseases more precisely and improve personalised care.