Digital health technologies and simulation
We use digital innovations to transform healthcare, enhance patient outcomes, and advance clinical education.
Our research in Digital Health Technologies brings together sensors, computing platforms, software, artificial intelligence, data integration, and human–computer interaction to create intelligent and connected healthcare solutions. Alongside this, our work in simulation develops models of physiological processes, diseases, and environmental contexts to support translational research and improve the understanding of complex biological systems.
By collaborating with clinicians, engineers, computer scientists, and data specialists, we design and test digital tools that replicate and optimise real-world healthcare scenarios.
Our work spans predictive modelling for personalised medicine, virtual patient simulations for medical training, integration of real-time sensor data into digital twins of human physiology, and immersive technologies that enhance diagnosis, treatment planning, and rehabilitation.
Our capabilities
- AI-enhanced medical image analysis and visualisation
- Biomedical data analytics
- Molecular dynamics simulation of drug-protein interactions
- Cell and tissue level quantitative systems biology and pharmacology
- 3D-printed stent design
Our focus
- Cardiovascular disease: CVD is the leading cause of death globally. We are developing digital twins of heart and vascular system to improve outcomes for patients with CVD.
- Cardiac rhythm and the brain: An interdisciplinary team of clinicians and engineers are uncovering correlation between heart rhythm and brain activity with implications for predictability of epileptic seizures.
- Digital twins for drug discovery:90% of drug candidates fail to pass clinical trials. It costs $2bn over 10 years to develop a drug from bench to bedside. Innovative computational approaches are urgently sought to reduce the cost of drug discovery. We are developing digital-twins of biology from atomostic-scale to the whole-organ to address this significant challenge.
- Tissue simulation: We are creating highly detailed computational models of tissues and organs (“in silico biomatter”) to simulate biological processes, accelerate research, and improve the translation of therapies from the lab to the clinic.
- Austin Health
- St Vincent’s
- Royal Prince Alfred (Sydney)
- The Florey Institute
- Department of Biomedical Engineering, University of Melbourne
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne
- KU Leuven
- University of Sydney
- Monash University