Pioneering MuscleMap project secures strong philanthropic support An innovative tool which could revolutionise the detection and treatment of musculoskeletal and neurological conditions will be further developed following a $230,000 gift. The donation was made following a enable a patient’s muscle deterioration to be compared with a healthy person’s. James said this will mean a clinician will be able to upload a scan into the MuscleMap program, and within minutes, will have access to detailed information measuring muscle composition compared to a reference dataset.
campaign by the University of Sydney’s Advancement team and the NORTH Foundation to support the world’s first open-source dataset of whole-body muscle composition. The Kolling Institute’s Academic Director Professor James Elliott said there is a critical need for the diagnostic tool with muscle and neurological conditions among the leading causes of illness and disability worldwide. “With these conditions affecting more than four billion people, they are expected to cost around $21 billion in healthcare expenditure by 2033 in Australia alone,” he said. “Early identification and intervention are crucial if we are to offer long-term health benefits and minimise the disease burden. “We know that these conditions often lead to a steady decline in muscle health, and this
“For athletes and the general population, the tool will accurately inform the journey from injury to repair, recovery and return to physical activity. “For patients with osteoporosis, the program will provide a detailed analysis of overall health and muscle deterioration, which will then inform personalised strategies to develop healthier muscle mass and improve general health and wellbeing. “We are very appreciative of this generous donation to the MuscleMap project. “It will be a pioneering resource, accessible to clinicians and researchers globally, and supporting the long-term health of communities.”
decline is evident by an increase in fat deposits in the muscles and the loss of muscle fibres. “CT and MRI scans can be used to identify these changes, but the time it currently takes is prohibitive.” The MuscleMap approach however, will automatically identify any changes, potentially revolutionising the detection of muscle health in any part of the body. It could inform treatment for everyone Astronauts for instance, experience significant muscle loss due to the effects of exposure to zero gravity. Using existing MRI and CT scans, the landmark global study has applied an artificial intelligence model to produce a dataset of muscle health of any part of the body. This will from elite athletes to astronauts and older people with complex conditions.
The Kolling Institute’s Academic Director Professor James Elliott
NSLHD NEWS | ISSUE 6| 11 APRIL 2025
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