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Artificial intelligence-driven design and fatigue life prediction of 3D printed bone scaffolds

CORDIS · observation · Publication date unknown

Artificial intelligence-driven design and fatigue life prediction of 3D printed bone scaffolds "Fracture is a common orthopedic condition that affects hundreds of millions of people worldwide, causing severe impairment of motor functions and significantly reducing quality of life. As a structural framework that supports and guides bone regeneration, the design and fabrication of bone scaffolds has emerged as a key in bone tissue engineering, offering an alternative to conventional bone grafting approaches. However, current 3D printed bone scaffolds continue to exhibit insufficient mechanical performance and fatigue durability, limiting their ability to withstand long-term physiological loading. In response to this need, Dr Haijei Wang, an experienced researcher from East China University of Science and Technology in China, moving to the University of Exeter in the United Kingdom to colla

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recordType
award
status
SIGNED
region
EU
value
276187.92
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.