Lab profile
About CBDRH
The Centre for Big Data Research in Health is Australia's first research center dedicated to health research using large-scale electronic data spanning biomedical, clinical, health services and public health domains. The center aims to enhance health and wellbeing by maximizing the productive use of all possible sources of health big data in medical research, working collaboratively with consumers, communities and health care providers to facilitate translation into health policy, service and programs.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- National Perinatal Epidemiology and Statistics Unit (NPESU)Data custodian of the Australian and New Zealand Assisted Reproduction Database (ANZARD), the Australian and New Zealand Neonatal Network (ANZNN), the International Committee for Monitoring Assisted Reproductive Technologies (ICMART) World IVF Registry, and the YourIVFSuccess website.
- CardiacAIClinical registry supporting rapid translational cardiac research and advanced AI-based decision support tool development and validation using data drawn directly from Cerner electronic medical record systems in four major hospitals in urban and regional NSW.
- HealthGym.aiOpen platform providing synthetic health-related data to the machine learning and clinical research communities to allow researchers to easily prototype, test and compare offline reinforcement learning algorithms.
- ERICA-E-Research Institutional Cloud ArchitectureSecure cloud computing infrastructure for individuals working with sensitive, often large-scale data, providing a highly secure yet highly functional computing environment that enables cutting-edge data analytics and reporting.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Development of a Machine Learning Model to Predict Short Duration HCV Treatment Response.Journal of viral hepatitis · 2026
- Spatially Aware Acquisition-Independent Deep Learning for IVIM MRI Parameter Estimation in Patients With Esophageal Cancer.Magnetic resonance in medicine · 2026
- Dynamic prediction of cardiovascular risk from linked primary care records in New South Wales, Australia: protocol for a retrospective prognostic modelling study.BMJ open · 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- Congratulations Dr Wentao LiAward
- Congratulations Dr Erandi HewawasamAward
- Who's using GLP-1 weight loss drugs?News
- Three in four IVF babies now born from frozen embryosNewsunsw.edu.au
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.