Artificial Intelligence in Regenerative Medicine: Applications and Implications

被引:20
|
作者
Nosrati, Hamed [1 ]
Nosrati, Masoud [2 ]
机构
[1] Isfahan Univ Med Sci, Biosensor Res Ctr, Esfahan 8174673461, Iran
[2] Iowa State Univ, Dept Comp Sci, Ames, IA 50011 USA
关键词
artificial intelligence; regenerative medicine; personalized medicine; ON-A-CHIP; PLURIPOTENT STEM-CELLS; TRIAL DESIGN; MICROFLUIDICS; NANOPARTICLES; PLATFORMS; THERAPY; CLASSIFICATION; FABRICATION; CHALLENGES;
D O I
10.3390/biomimetics8050442
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The field of regenerative medicine is constantly advancing and aims to repair, regenerate, or substitute impaired or unhealthy tissues and organs using cutting-edge approaches such as stem cell-based therapies, gene therapy, and tissue engineering. Nevertheless, incorporating artificial intelligence (AI) technologies has opened new doors for research in this field. AI refers to the ability of machines to perform tasks that typically require human intelligence in ways such as learning the patterns in the data and applying that to the new data without being explicitly programmed. AI has the potential to improve and accelerate various aspects of regenerative medicine research and development, particularly, although not exclusively, when complex patterns are involved. This review paper provides an overview of AI in the context of regenerative medicine, discusses its potential applications with a focus on personalized medicine, and highlights the challenges and opportunities in this field.
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页数:23
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