Bridging The Gap Between Cartilage Biology And Osteoarthritis Risk Prediction
Funder
National Health and Medical Research Council
Funding Amount
$512,256.00
Summary
Osteoarthritis is a painful and debilitating cartilage disease affecting just under 1 in 10 Australians and costs the Australian economy roughly $12 billion per year. This project will develop computational models of cartilage with the ability to incorporate genetic and environmental risk factors into a predictive model of cartilage disease.
Gene Mining For Novel Molecular Determinants Of The Skeleton
Funder
National Health and Medical Research Council
Funding Amount
$633,447.00
Summary
Musculoskeletal conditions affect over 6 million Australians and research has shown that genetic background strongly influences development of these disorders. This project will identify genes that have a role in controlling bone and joint architecture. Identification of these genes will assist in the development of treatments targeting bone disorders and allow screening for these genes to provide an opportunity for people to take preventative action to improve bone and joint health.
Osteoarthritis Compass: Predicting Personalized Disease Onset And Progression With Future Capacity For Clinical Use.
Funder
National Health and Medical Research Council
Funding Amount
$860,231.00
Summary
Knee osteoarthritis (OA) is common, painful, and costly. General guidelines for knee OA management exist but cannot be personalized to the patient. New computer modelling methods enable prediction of knee OA onset and progression on a patient by patient basis but need further testing. Our aims are to 1) apply these new computer modelling methods to legacy datasets acquired from patient groups at risk of, and with, knee OA, and 2) make these models simple and fast enough to be clinically useful.