Integrative systems and modelling

Our system modelling approach utilises large and complex data sets, from myriad sources and across disciplines, to unravel the underlying network of influence on nutrition and health in relation to diabetes, obesity and cardiovascular disease.

From systems biology to social networks, mathematical and computational sciences, and bioinformatics and data science, our systems model practice reveals the interconnections of the critical factors underpinning chronic disease. This integrative systems approach is the key to identifying innovative solutions to the growing global health problems associated with diet and lifestyle.

We encourage project nodes falling under our theme to utilise our systems modelling approach, while also contributing data sets that will enable us to improve our systems modelling.

Current projects within this theme 

• Baby1000 study
• Bias in research
• Biology of ageing
• Brain and body
• Building system wide capacity for big data analysis
• Business, markets and the social context of health
• Cardiac translational imaging
• Charles Perkins Centre networks
• Cell-based therapies for type 1 diabetes
• Developmental origins of health and disease
• Digital Health Informatics Network
• Digital solutions in cardiovascular disease prevention
• Eating disorders
• Economics of human development
• Evidence synthesis
• Fibrosis and wound healing
• Health and economics
• Health literacy chronic disease network
• Integrated care clinical
• Immune therapies
• Implementation science
• Incidental physical activity and sedentary behaviour
• Kidney health
• Living healthier lives under the Australian sun
• One welfare
• Oral and systemic health
• Science of learning science
• Single cell and spatial biology
• Solve CHD Cardiovascular Disease Prevention and Rehabilitation
• Tissue engineering and regenerative medicine
• Twin research
• Wireless wellbeing and personalised health