The Personalised Health Research Stream is led by Professor Fadi Charchar.
T. +61 3 5327 6098
Machine Learning and Artificial Intelligence
This research stream will bring together leading researchers and practitioners from the field of computational intelligence, machine learning and big data analytics. We will apply the latest advances to real world problems in biology, bioinformatics, computational biology, mental/digital health and well-being, and related fields. Computational intelligence approaches include artificial neural networks, fuzzy logic, evolutionary algorithms, hybrid algorithms and other emerging techniques. With a focus on cardiovascular diseases and mental health problems, topics of research include (but are not limited to) modeling, simulation, and optimization of biological and biopsychosocial systems, systems and synthetic biology, medical imaging and pattern recognition, gene expression analysis and structure prediction.
The Machine Learning and Artificial Intelligence Research Stream is led by Associate Professor Madhu Chetty.
T. +61 3 5122 8148
Digital Health and Models of Care
In this research stream, we create and evaluate digital health products and mine biopsychosocial data to create personalised health interventions, as well as tools to train up healthcare professionals. Our research spans the illness-wellness continuum, often disseminated at a population level, with an eye towards innovating new models of healthcare. Our research will also assist to better understand howepigenetics, the ANS, immune system, individual behaviour & cognitioncan treat & prevent chronic health conditions. Our ultimate goal is to produce accurate disease progression models and the identification of what interventions works best for whom & when.
The Digital Health and Models of Care Research Stream is led by Professor Britt Klein.
T. +61 3 5327 6717
The focus of this research stream is on the creation and application of innovative, evidence-based education, training and support interventions and programs (face-to-face, digital and blended) that better enable, retain and sustain emerging and current health and aged care workforces to lead and deliver safe, high quality services to communities and populations across the lifespan. A particular emphasis is directed toward innovative interventions and programs addressing the development of health and aged care workforces in regional, rural and remote settings.
The Workforce Development Research Stream is led by Associate Professor Danny Hills.
T. +61 3 5327 6652
Patient Safety and Care Quality
This theme of work focusses upon the exploratory and interventional research that enables the development of clinical practice, patient and workforce safety. Approaches will include data mining relating to, amongst others, international patient deterioration and falls rates. Development of digital health education interventions and workforce development through blended learning – on-line & face to face interventions. Further, clinical impact studies designed to measure educational and clinical practice improvements and regional and international evaluation studies that enhance outcomes within communities.
The Patient Safety and Care Quality Research Stream is led by Professor Simon Cooper.
T. +61 3 5122 8032
A key aim of the Centre is to improve the health and wellbeing of regional and rural populations. Population health refers to the health outcomes of a group of people and how these outcomes vary within the group. Our interest is in health outcomes in groups across the lifespan and from diverse backgrounds. This stream will draw on the expertise of a range of disciplines and methodologies to answer the important global health question “How do we optimise health outcomes for regional and rural populations?
The Population Health Research Stream is led by Professor Colette Browning.
T. +61 3 5327 6374