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Biomaterials Design through Machine Learning for Sex- and Disease-Specific Bone Regeneration

Project description

Machine learning to understand sex and osteoporosis influence on bone regeneration

Osteoporosis, a pervasive disease causing bone fragility, is a pressing health issue that affects over 32 million Europeans and is projected to escalate with the ageing population. Postmenopausal women are particularly vulnerable, and the regenerative capacity of bones varies by sex. Machine learning (ML) offers a powerful tool for comprehending these effects and designing biomaterials optimised for these unique characteristics. Supported by the Marie Skłodowska-Curie Actions (MSCA) programme, the SeDiBone project uses ML to study the influence of sex and osteoporosis on bone regeneration. It will create tools to measure and design biomaterials for optimal regenerative success based on sex and osteoporosis. The project seeks to develop patient-specific biomaterials and inform therapeutic solutions.

Objective

Osteoporosis, a widespread disease that causes bone fragility, currently afflicts over 32 million Europeans, with rapidly increasing
prevalence expected due to population aging. The costs of therapies for osteoporotic fragility fractures total more than 50 billion per
year in the EU. Postmenopausal females are at especially increased risk for osteoporosis, and the regenerative capacity of healthy
bone also differs between the biological sexes.
Although biomaterials have been developed to aid bone regeneration after injury, the influence of biological sex and osteoporotic
disease have not been taken into account for such biomaterials design. Excitingly, the advent of machine learning (ML) offers the
potential to unravel the effects of sex and osteoporotic disease on biomaterials bone regenerative capacity, and to apply these
insights to design biomaterials optimized to these characteristics.
Therefore, the SeDiBone project will for the first time exploit ML to elucidate the influence of sex and osteoporotic disease on
bone regeneration, and to translate these insights towards design of an entirely new class of biomaterials with sex and osteoporotic
specificity. By enabling automated localization of tissue defect sites and detailed tissue, cell, and interface identification, SeDiBone will deliver an Analysis Tool that efficiently and reproducibly quantifies bone regeneration outcomes in male or female and healthy or osteoporotic preclinical animal models (Aim 1). These in-depth insights will then serve as inputs for a Design Tool to determine the biomaterials designs correlating to optimal regenerative success based on sex and osteoporosis, with validation through ex vivo demonstration (Aim 2). SeDiBone will thus crucially synergize and advance efforts to design a new generation of patient-specific biomaterials, and accordingly inform therapeutic solutions for regeneration of bone tissue in the unexplored areas of sex- and disease-based specificity.

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

STICHTING RADBOUD UNIVERSITAIR MEDISCH CENTRUM
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.

€ 203 464,32
Address
GEERT GROOTEPLEIN 10 ZUID
6525 GA NIJMEGEN
Netherlands

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Region
Oost-Nederland Gelderland Arnhem/Nijmegen
Activity type
Higher or Secondary Education Establishments
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Total cost

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