News

An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the ...
An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.
The FRAX tool demonstrated good discrimination overall but underestimated fracture risk among certain patients with diabetes, including Hispanic women and Black men.
Low calcaneal bone mineral density defined via BUA and SOS parameters was associated with increased risks for cardiovascular and all-cause mortality.
A new study finds that osteosarcopenia — having osteopenia or osteoporosis along with sarcopenia — is prevalent in people who have experienced hip fractures, especially men.
Researchers at the University Health Network (UHN) and the University of Toronto have developed a skin-based test that can detect signature features of progressive supranuclear palsy (PSP), a rare ...
Carlton will be without stars Jack Silvagni and Zac Williams for their AFL clash with Adelaide, while Collingwood will ...