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

Project description

AI design of durable bone scaffolds

The healing process of bone fractures usually requires scaffolding, but the currently designed 3D-printed scaffolds are mechanically weak and lack sufficient durability to cope with the sustained body stresses. Supported by the Marie Skłodowska-Curie Actions programme, the AID-Bone project aims to use AI technology in designing the next generation of 3D-printed bone scaffolds to give them mechanical strength and greater resistance against body fatigue for bone tissue engineering purposes. This involves the joint efforts of AI scientists, 3D printing experts, biomechanics and material scientists who will work to develop new bone scaffolds similar to the properties of natural bones.

Objective

"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 collaborate on the project titled ""Artificial intelligence-driven design and fatigue life prediction of 3D printed bone scaffolds (AID-Bone)"" under supervision of Dr Xijin Hua. The objective of this project is to harness artificial intelligence (AI) to develop the next generation of structurally optimized, fatigue-resistant 3D printed bone scaffolds, addressing the current challenges in scaffold design and fatigue performance evaluation. The project will leverage the fellow's expertise in 3D printing, AI, structural integrity assessment, and materials science, in conjunction with the supervisor's proficiency in biomechanics, scaffold modelling and simulation. This initiative seeks to establish a knowledge-sharing platform that enables the fellow to acquire new skills while fostering the exchange of expertise between the fellow and the host in the domains of biomechanics, scaffold modelling and simulation, 3D printing, AI, structural integrity assessment, and materials science."

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

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

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

THE UNIVERSITY OF EXETER
Net EU contribution
€ 276 187,92
Address
THE QUEEN'S DRIVE NORTHCOTE HOUSE
EX4 4QJ Exeter
United Kingdom
Region
South West (England) Devon Devon CC
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data