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

Descripción del proyecto

Diseño asistido por inteligencia artificial de matrices óseas duraderas

La reparación de fracturas óseas suele requerir el uso de estructuras de soporte. Sin embargo, las matrices óseas impresas en 3D carecen de la resistencia mecánica y la durabilidad necesarias para soportar cargas corporales continuas. En el proyecto AID-Bone, financiado por las acciones Marie Skłodowska-Curie, se empleará la inteligencia artificial (IA) para diseñar la nueva generación de matrices óseas impresas en 3D, con mayor resistencia mecánica y a la fatiga, destinadas a la ingeniería de tejidos óseos. El desarrollo de estas nuevas matrices, con propiedades similares a las del hueso natural, reunirá a especialistas en IA, impresión 3D, biomecánica y ciencia de los materiales.

Objetivo

"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."