Personalized analytics for Human | Data | Society

Last updated on Feb 18, 2023

Personalized medicine can improve the lives of patients and clinical professionals lastingly. Thus, developing data science approaches, tools and systems for personalized analytics is one of the aims of our research group, which is a member of the recently established Centre for Human | Data | Society. Currently available therapies are mostly designed for the “average” patient and neglect patient-to-patient heterogeneity. However, these ‘one-size-fits-all’ treatment approaches are not suitable for most complex diseases, such as cancers, as they do not take into account the molecular properties of an individual disease. In our research we develop and apply data science approaches that enable to extract previously unknown molecular signatures and unlock their biomarker potential for personalized medicine. By analyzing the signatures in terms of their occurrence within certain cancer types and their association with disease progression, we develop predictive models that aim to support personalized diagnostics and clinical decision making in the future.

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