Sensitive data infrastructure for skin cancer detection

QCIF has partnered with The University of Queensland (UQ) to deliver sensitive data infrastructure and specialised compute services for the project “3D Total Skin Imaging for Melanoma Early Detection in Regional Australia”, an initiative of the Australian Centre of Excellence in Melanoma Imaging and Diagnosis, comprising researchers from UQ, Monash University and University of Sydney.

Led by Professor Monika Janda from UQ’s Centre for Health Services Research and funded by the  Medical Research Future Fund National Critical Research Infrastructure initiative, it aims to accelerate the adoption of 3D total body skin imagining and diagnostic capabilities to improve early detection of potentially fatal skin cancers in patients in regional and rural Australia.

 QCIF will provide its expertise and capabilities in data infrastructure and AI federated learning, including in the use of KeyPoint. This will ensure researchers and clinicians can share and work on sensitive data with approved researchers in a scalable, fully governed, and highly secure environment.

Dom Gorse, Director of QCIF Data Science said “from the early stages of ACEMID, QCIF has been an integral partner. We are thrilled to extend our support as the initiative expands into regional Australia. This new collaboration will further harness QCIF’s robust capabilities in managing sensitive data and AI infrastructure.”

The research will be conducted at nine regional hospital and health care centres across Queensland, New South Wales and Victoria, including a 3D total body imaging trial hub established in partnership with Mildura Base Public Hospital.

For more information about the project, read the UQ media release “Tech trial to speed regional melanoma diagnosis”, published on June 24, 2024.