AllTechnological ChallengesHealth ChallengesImplementation ChallengesPost-docs and PhD students
Anastasia Sergeeva

Impact of technology on work in healthcare settings

Annette ten Teije

Knowledge Representation and Reasoning in the medical domain

Bart Westerman

Application of Artificial Intelligence in Functional Genomics and Medicine

Brenda Penninx

Application AI in psychiatry

Bruno Loos

AI in dental health and healthcare

Caroline Jagtenberg

AI in healthcare logistics

Charlotte Teunissen

Fluid biomarker research for neurological diseases

Dirk Pelt

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

Eco de Geus

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

Emma Beauxis-Aussalet

Modelling, visualising and explaining AI bias

Evert Bosdriesz

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

Evert Verhagen

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

Frank van der Meulen

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

Frank van Harmelen

Artificial Intelligence and Knowledge Representation

Franka Meiland

Application AI in Geriatrics

Frans Feldberg

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

Georgios Lappas

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

Ger Koole

Service operations management using techniques from OR, AI and statistics

Harry van Zanten

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

Heleen Riper

e-Health in the mental health domain

Ilaria Tiddi

Knowledge Representation to improve automated knowledge discovery in health applications

Jaron Harambam

Participatory AI

Jeroen Lakerveld

Environmental determinants of lifestyle behaviours and chronic disease risk

Kak Khee Yeung

Artificial intelligence-based personalized aortic aneurysm and dissection research

Klaus Linkenkaer-Hansen

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

Koen Hindriks

AI-driven interaction with social interfaces

Laura Swinckels

Machine learning for early detection of oral diseases

Louk Smalbil

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

Marike van der Leeden

Automated text analysis for recovery in COVID-19 patients

Mark Hoogendoorn

Machine learning and its applications for health and wellbeing

Marketa Ciharova

Machine learning for mental health interventions

Markus Leitner

Prescriptive analytics, operations research and combinatorial optimization

Marleen Huysman

Sociology of work and technology

Martijn Schut

Translational AI in Laboratory Medicine

Martijn Stuiver

Functional recovery from cancer and its treatment

Martine Smit

Detailed molecular understanding in personalized medicine

Mathisca de Gunst

Stochastic modelling and statistical analysis of biological processes

Meike Bartels

Individual differences in wellbeing

Michel Klein

Social AI to understand and induce change in human health behavior

Mohammad Rezazade Mehrizi

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

Nanne A. Dieleman

Optimising systems in health care

Pascal Wissink

Dependencies in stochastic networks based on AI technologies

Patrick González

Application of AI in Biophotonics

Paul Elbers

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

Piek Vossen

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

Rianne de Heide

Hypothesis testing, Bayesian learning and bandit problems

Rob van der Mei

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

Robert de Jonge

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

Romana Pernisch

Knowledge graphs and biomedical ontologies

Romy Vos

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

Rose-Marie Dröes

Psychosocial dementia care research

Sandjai Bhulai

AI for decision making under uncertainty in health care

Sanne Abeln

Bioinformatics for biomedicine

Selim Sametoglu

Natural language processing to assess individual wellbeing

Teun Zuiderent – Jerak

Social AI to increase participation

Thang Pham

Artificial intelligence in proteomics and cancer research

Wessel van Wieringen

Statistical modeling data stemming from complex phenomena