The University of Queensland (UQ) is leading a project to establish an Australian national machine learning (ML) data network that will aid in finding innovative solutions for managing chronic diseases. The project, called the National Infrastructure for Federated Learning in Digital Health (NINA), received $13.7 million AUS ($8.9 million USD) in funding from Australia’s Medical Research Future Fund, UQ, Monash University, Macquarie University, and the Queensland Cyber Infrastructure Foundation.
NINA will allow researchers to access data on chronic diseases, such as diabetes, rheumatoid arthritis, and osteoarthritis, and use ML to analyze the information. The data will be standardized to protect privacy and shared with health organizations and states. UQ will collaborate with 23 Australian and global partners to develop the framework and implement the data model on a national scale.
This project is critical to Australian medical researchers, who are have trouble accessing health databases because their digital health research data is often fragmented across many different health systems, and limiting the ability to gather information on treatments and trends for chronic conditions. A patchwork of privacy and data sharing restrictions also hinder the meaningful use of these databases. NINA aims to address these issues by leveraging the existing data to find improved management solutions for chronic diseases.
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