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Diversity Outside In: A new era in musculoskeletal modelling by integrating in-vivo parameters to reflect human heterogeneity.

Project description

Personalised musculoskeletal models for equitable rehabilitation

Musculoskeletal disorders are the leading cause of disability globally. Prevention and treatment require models that consider age and gender differences. Currently, biomechanics often rely on male-based scaling, leading to inaccurate personalised models due to a lack of comprehensive datasets that capture variations across gender, age, and genetics. The ERC-funded Diversity Outside In project aims to develop personalised musculoskeletal models that account for age- and gender-related differences. It will collect in vivo measurements to create models that reflect these variations through a morphometric scaling technique. These will be used in simulations to examine how age and sex influence musculoskeletal loading during movement, helping to design equitable rehabilitation programmes and performance improvement strategies.

Objective

Musculoskeletal disorders, affecting muscles, bones, joints, and associated tissues, are the leading cause of disability worldwide today. To guide professionals in preventing and treating musculoskeletal disorders, musculoskeletal models serve as powerful tools. Given that these disorders present differently between sexes and throughout the lifespan, it is crucial to include model parameters that reflect this diversity. However, while it is widely recognized in medicine and science that women and men are not simply scaled versions of one another, the field of biomechanics still relies on linear scaling of musculoskeletal models based on male bone geometry and mixed-sex muscle parameters. Datasets or models capturing the relationship of model parameters across sex, age, and genetic background are lacking, leading to incorrect personalized models.
I propose to develop an innovative methodology for rapidly generating accurate, personalized musculoskeletal models that account for age and sex-specific variations.
To this end, I will pioneer a highly challenging and unique experimental setup and collect data that spans both demographic factors and multiple levels of model parameters from in-vivo measurements in a population study. With this, I will develop the first musculoskeletal models in which age and sex differences are accurately represented. I propose a morphometric scaling technique, which is a novel approach, integrating full-body shape data with demographic information, to enable rapid and accessible generation of these accurate personalized models. This will set a new standard for both practical applications and research settings. Finally, these models will be used in simulations to explore how age- and sex-related differences impact musculoskeletal loading during movement.
Understanding how age-sex differences affect movement and musculoskeletal loading, will guide the design of equitable rehabilitation, physical labour, prevention, and performance program.

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2025-STG

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Host institution

TECHNISCHE UNIVERSITEIT DELFT
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 961 917,00
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 961 917,00

Beneficiaries (1)

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