Nosrati Hamed, Nosrati Masoud
Biosensor Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran.
Department of Computer Science, Iowa State University, Ames, IA 50011, USA.
Biomimetics (Basel). 2023 Sep 20;8(5):442. doi: 10.3390/biomimetics8050442.
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.
再生医学领域正在不断发展,旨在通过基于干细胞的疗法、基因疗法和组织工程等前沿方法修复、再生或替代受损或不健康的组织和器官。然而,纳入人工智能(AI)技术为该领域的研究打开了新的大门。人工智能是指机器以学习数据中的模式并将其应用于新数据等方式执行通常需要人类智能的任务的能力,而无需进行明确编程。人工智能有潜力改善和加速再生医学研发的各个方面,特别是在涉及复杂模式时,尽管不仅限于此。这篇综述文章概述了再生医学背景下的人工智能,重点讨论了其在个性化医学方面的潜在应用,并强调了该领域的挑战和机遇。