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WEBINAR: Launching the Australian Cardiovascular disease Data Commons

A new research platform will accelerate the discovery of new risk markers for heart attack and stroke. Up to 27% of heart attack patients have none of the well-known risk factors, such as high blood pressure, elevated cholesterol, diabetes, or smoking, when they initially present to a GP. Furthermore, many people with coronary artery disease experience a second, life-threatening event despite optimal clinical treatment.  

The Australian Cardiovascular disease Data Commons (ACDC) has been built to bridge this critical clinical gap by securely pooling multi-omics data, longitudinal outcomes, and imaging from approximately 400,000 individuals across 18 Australian cohorts. By connecting this scalable data infrastructure to best practice analysis platforms, ACDC enables researchers to take the next leap towards protecting people at risk of coronary artery disease.

Prof Peter Meikle and Dr Tingting Wang, Baker Heart and Diabetes Institute, will join Prof Bernie Pope, Australian BioCommons, to launch the ACDC. Join to learn about:

  • Development of the data commons: an overview of the cloud infrastructure, data harmonisation processes, and federated standards built on the Gen3 platform  

  • Research value of the platform: how secure access to pooled multi-omics, genomic, and imaging cohorts enables researchers to discover new risk markers and test Polygenic Risk Scores.  

  • Future clinical applications: how the ACDC will streamline translational pipelines to bring new diagnostic tools into clinical practice.

Speakers: 

Prof Peter Meikle, Baker Heart and Diabetes Institute

Prof Bernie Pope, Australian BioCommons

Dr Tingting Wang, Baker Heart and Diabetes Institute

Date/Time: 30 September 2026, 12 - 1 pm AEST / 11:30 am - 12:30 pm ACST / 10 - 11 am AWST (check in your timezone)

Who the webinar is for:

This webinar is for life science researchers, bioinformaticians, cardiovascular clinicians, data custodians, and medical data scientists interested in precision medicine and multi-omics data integration

How to join:

This webinar is free to join but you must register for a place in advance.

Register here

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