Examples of current research work in the group "AI & Data Science"

Detecting Alzheimer's earlier

Retrospectively validated AI model allows early detection of Alzheimer's six years in advance.

Predicting the side effects of drugs

AI allows for accurate prediction of adverse drug events and target-associated phenotypes.

Molecular subtypes

Innovative AI approach allows identification of prognostically relevant molecular cancer subtypes based on multi-omics data.

Synthetic data

Innovative AI approach allows the generation of realistic synthetic patient trajectories.

Stratifying patients according to molecular mechanisms

AI allows for stratification of Alzheimer and Parkinson patients via molecular disease mechanisms – a step towards Precision medicine in neurology.

Progression Subtypes

New AI approach allows for the clustering of multivariate longitudinal patient trajectories and detection of progression subtypes in Alzheimer's and Parkinson's Disease.

XAI on real world data

Predicting how patients will respond to a drug

Towards realizing the vision of precision medicine: AI allows for predicting response to anti-epileptic drugs.


New Drug Candidates for COVID-19

AI Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases.