NL
DE
About
We develop computational workflows for the integration of omics and clinical data to predict disease progression and identify drug repurposing candidates in myotonic dystrophy and other neuromuscular disorders.
Aims
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We aim to develop personalized prediction models for disease progression and use these models as baseline in clinical trials
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We aim to develop multi-omics data integration approaches to discover biomarker signatures and disease mechanisms.
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We aim to develop computational pipelines for discovery of drug repurposing candidates.
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We aim to develop FAIR data infrastructure for integration of molecular and clinical from heterogeneous and distributed resources.
Internationally we are also known as
Computational approaches to advance personalized medicine
