The future of bone regeneration: integrating AI into tissue engineering

被引:31
作者
Mackay, Benita S. [1 ]
Marshall, Karen [2 ]
Grant-Jacob, James A. [1 ]
Kanczler, Janos [2 ]
Eason, Robert W. [1 ,3 ]
Oreffo, Richard O. C. [2 ,3 ]
Mills, Ben [1 ]
机构
[1] Univ Southampton, Fac Engn & Phys Sci, Optoelect Res Ctr, Southampton SO17 1BJ, Hants, England
[2] Univ Southampton, Fac Med, Ctr Human Dev Stem Cells & Regenerat, Bone & Joint Res Grp,Human Dev & Hlth, Southampton SO16 6HW, Hants, England
[3] Univ Southampton, Fac Life Sci, Inst Dev Sci, Southampton SO17 1BJ, Hants, England
基金
英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会; 英国医学研究理事会;
关键词
artificial intelligence; tissue engineering; deep learning; regenerative medicine; stem cells; biomaterials; MESENCHYMAL STEM-CELLS; IN-VITRO; SURFACE NANOTOPOGRAPHY; NEURAL-NETWORK; BIOMATERIALS; DESIGN; OSTEOARTHRITIS; ANGIOGENESIS; ARCHITECTURE; TRANSLATION;
D O I
10.1088/2057-1976/ac154f
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Tissue engineering is a branch of regenerative medicine that harnesses biomaterial and stem cell research to utilise the body's natural healing responses to regenerate tissue and organs. There remain many unanswered questions in tissue engineering, with optimal biomaterial designs still to be developed and a lack of adequate stem cell knowledge limiting successful application. Advances in artificial intelligence (AI), and deep learning specifically, offer the potential to improve both scientific understanding and clinical outcomes in regenerative medicine. With enhanced perception of how to integrate artificial intelligence into current research and clinical practice, AI offers an invaluable tool to improve patient outcome.
引用
收藏
页数:25
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