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Overview
Living systems in all their varieties are complex systems and their representation, modelling, preservation and evolution can be better understood with mathematical, statistical, computational modelling as well as the established and emerging machine and deep learning. To better understand and describe such systems different modelling approaches have been adopted, based on the dynamical characteristics, network representation, statistical behaviour, structure, mathematical, physical, chemical, biological, or physiological properties and many others.
The focus of this international conference is on the data-driven modelling of complex living systems. The topics covered will be modelling approaches for living systems from different disciplines as well as models of conditions, behaviours, disease and wellbeing of humans.
The conference is dedicated to the 65-th anniversary of our renowned colleague Prof. Maia Angelova.
Topics
- Mathematical modelling
- Physical modelling
- Statistical modelling
- Machine and deep learning
- Data mining
- Biophysical and bioengineering modelling
- Internet of medical things
- Signal and image processing
- Sleep
- Diabetes
- Ageing
- Depression
- Cancer
- Chronic disease
- Circadian rhythms
- Sport analytics
- Decision making in health
- Precision healthcare
- Precision medicine
- Precision mental health care
