Our main interests include:
the development of biomedical data analytic methods & integrated data-driven approaches
the exploration of machine learning and AI for health-related predictive models and precision medicine
the incorporation of AI in connected health technologies & systems medicine
the interplay of systems medicine with the daily life data & connected health technologies
Biomedical signal/image processing & predictive models
ECG analysis & in-silico electrophysiology models (AF, Heart Failure)
Medical Imaging and Radiomics analysis for cancer and chronic conditions
Sleep analysis (insomnia, OSA, sleep structure)
EEG analysis (for cognitive decline)
ICU data analysis (ventilation support, vitals in deterioration)
Combine gamified approaches + wearables + data analysis -> services
motion rehabilitation / guidance
stress management
lifestyle/exercise and wearables
Data analytics & visualization platforms
Decision support & Dashboards
Intervention evaluation (exercise)
Integrated -omics analysis
Network analysis and machine learning for diagnosis & treatment support
Cancer and chronic diseases