Bridging the Gap Between Cartilage Biology and Osteoarthritis Risk Prediction

Grant number: 1051538 | Funding period: 2013 - 2015

Completed

Abstract

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.

Related publications (2)

The spatio-temporal mechanical environment of healthy and injured human cartilage during sustained activity and its role in cartilage damage

S Miramini, DW Smith, L Zhang, BS Gardiner

2017-10-01

Recently we presented a computational model of articular cartilage calibrated for normal human tissue explants. This model was abl..

Predicting Knee Osteoarthritis

B Gardiner, F Woodhouse, T Besier, A Grodzinsky, D Lloyd, L Zhang, D Smith

2016-01-01

Treatment options for osteoarthritis (OA) beyond pain relief or total knee replacement are very limited. Because of this, attentio..

University of Melbourne Researchers

Lihai Zhang