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

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

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recordType

award

status

SIGNED

region

EU

value

203464.32

unit

EUR