Researchers

Impact of technology on work in healthcare settings

Knowledge Representation and Reasoning in the medical domain

Application of Artificial Intelligence in Functional Genomics and Medicine

Application AI in psychiatry

AI in dental health and healthcare

AI in healthcare logistics

Fluid biomarker research for neurological diseases

Predicting and explaining individual differences in mental health and well-being

Repeated ambulatory measurements for person-specific stress profiles across real life settings

Modelling, visualising and explaining AI bias

The combination of machine learning with mechanistic modeling to understand and predict anti-cancer drug response on the molecular level

Applying machine learning to identify the hamstring injury risk profile based on screening tests in elite football players

Design of (Bayesian) computational methods in high-dimensional, complex models

Artificial Intelligence and Knowledge Representation

Application AI in Geriatrics

The impact of (big) data and artificial intelligence on business models in healthcare

Replacing the contrast agent used in diagnostic level in Multiple Sclerosis patients using AI and advanced MR sequences

Service operations management using techniques from OR, AI and statistics

Design and performance of statistical or learning methods for high-dimensional, complex models

e-Health in the mental health domain

Knowledge Representation to improve automated knowledge discovery in health applications

Participatory AI

Environmental determinants of lifestyle behaviours and chronic disease risk

Artificial intelligence-based personalized aortic aneurysm and dissection research

Computational modeling of neuronal networks to understand the mechanisms and functions of neuronal oscillations

AI-driven interaction with social interfaces

Machine learning for early detection of oral diseases

Causal Machine Learning and Reinforcement Learning with Applications in the Medical Domain

Automated text analysis for recovery in COVID-19 patients

Machine learning and its applications for health and wellbeing

Machine learning for mental health interventions

Prescriptive analytics, operations research and combinatorial optimization

Sociology of work and technology

Translational AI in Laboratory Medicine

Functional recovery from cancer and its treatment

Detailed molecular understanding in personalized medicine

Stochastic modelling and statistical analysis of biological processes

Individual differences in wellbeing

Social AI to understand and induce change in human health behavior

Learning and unlearning by organizations, knowledge work, expertise, AI

Optimising systems in health care

Dependencies in stochastic networks based on AI technologies

Application of AI in Biophotonics

The use of AI for diagnosis, treatment and logistics in the Intensive Care Unit

The use of AI text mining techniques for time series prediction for the functioning of individual patients in the future

Hypothesis testing, Bayesian learning and bandit problems

The interface between theory and applications in the area of Stochastic Operations Research

Development of diagnostic and prognostic algorithms and discovery of new biomarkers using AI

Knowledge graphs and biomedical ontologies

Combining machine learning and knowledge representation methods to improve drug safety in multi-morbid patients.  

Psychosocial dementia care research

AI for decision making under uncertainty in health care

Bioinformatics for biomedicine

Natural language processing to assess individual wellbeing

Social AI to increase participation

Artificial intelligence in proteomics and cancer research

Statistical modeling data stemming from complex phenomena