SOURCE-LINKED INTELLIGENCE

Connecting Joint Function to Chondrocyte Biology in Knee Osteoarthritis

CORDIS · observation · Publication date unknown

ling framework informed by datasets of (1). (3) Elucidating cartilage degeneration probability and mechanotherapy success in subjects with early knee OA, integrating the multi-scale model of (2) with machine learning, multi-variate and population-based methods leveraging the use of clinically accessible ‘real-world’ data. Prospective cohort and proof-of-concept studies will capture the dynamics of mechanical and biological drivers and the impact of three current mechanotherapies. The field of OA needs a shift in focus as the approaches of the past 20 years could not bring the mechanistic insights required to develop treatment strategies. By dissecting the Goldilocks problem of mechanical load, OA-CONNECT will initiate a groundbreaking shift in unraveling mechanobiological drivers in an uncharted direction. computational biomechanics, biomedical engineering, cartilage mechanobiology, musculoskeletal rehabilitation, multi-scale modeling, osteoarthritis, functional biomarkers

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recordType

award

status

SIGNED

region

EU

value

3283437

unit

EUR