Researchers from the Garvan Institute, led by University of Technology Sydney Professor of Predictive Medicine Tuan Nguyen, have developed a computational model to calculate ‘skeletal age’, a personalised estimate of an individual’s risk of bone fracture and premature death.
Researchers from the Garvan Institute, led by University of Technology Sydney Professor of Predictive Medicine Tuan Nguyen, have developed a computational model to calculate ‘skeletal age’, a personalised estimate of an individual’s risk of bone fracture and premature death.
The skeletal age calculator, which will be accessible to doctors and health professionals, aims to better identify those at risk of a first bone fracture and subsequent fractures, and also estimates how fractures impact life expectancy.
Osteoporosis, a disease which reduces bone strength and increases bone fracture risk, is a major national health issue and estimated to affect over 900,000 Australians. The cost of osteoporosis and fracture in Australia is $3.4 billion annually.
Read more at University of Technology Sydney
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