Osteoarthritis compass: Predicting personalized disease onset and progression with future capacity for clinical use.

Funding Activity

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Funded Activity 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.

Funded Activity Details

Start Date: 01-01-2020

End Date: 01-01-2024

Funding Scheme: Ideas Grants

Funding Amount: $860,231.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

ANZSRC Socio-Economic Objective (SEO)

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Other Keywords

biomedical engineering | biosensor | computer simulation | knee osteoarthritis