• Modeling and simulation – this research area will be concerned with the development of fundamental modelling tools and workflows, simulating physiology and predicting multi-morbidity through integration with the healthcare data and data science technologies 

• Clinical Data Science – the group will use AI with machine learning and deep learning models to conduct research into improvements in decision making at all stages of patient’s interaction with healthcare system – prevention, diagnosis, risk, optimal path of treatment, and treatment monitoring using the patient-specific data 

• Computer vision data science – the group will focus its efforts on the development of AI technology for automatic analysis and interpretation of visual information in healthcare applications 

• Personal health data science – the group will develop machine learning methods for analysis and creation of personal health predictive models as well as use or artificial intelligence in public health and epidemiology 

• Extreme-scale data and computing – this team will address the issues presented by the developments of High Performance Computing, AI, big data and cloud computing 

Research Group Leaders will, shape the research strategy of the organization and the internal culture of the Centre to ensure scientific and commercial success, doing it in close cooperation with our clinical and industrial partners.