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引用次数: 0
摘要
组织工程是医学研究和临床应用的重要方法,旨在再生受损器官。通过结合干细胞、生化因子和生物材料,组织工程在设计复杂的三维结构时遇到了挑战。人工智能(AI)通过计算建模、生物材料设计、细胞培养优化和个性化医疗等手段,提高了组织工程学的水平。本综述探讨了人工智能在器官组织工程(骨、心脏、神经、皮肤、软骨)中的应用,采用各种机器学习(ML)算法进行数据分析、预测和优化。每一部分都讨论了常见的 ML 算法和具体应用,强调了推进再生疗法的潜力和挑战。
Application of Artificial Intelligence in Tissue Engineering.
Tissue engineering, a crucial approach in medical research and clinical applications, aims to regenerate damaged organs. By combining stem cells, biochemical factors, and biomaterials, it encounters challenges in designing complex 3D structures. Artificial intelligence (AI) enhances tissue engineering through computational modeling, biomaterial design, cell culture optimization, and personalized medicine. This review explores AI applications in organ tissue engineering (bone, heart, nerve, skin, cartilage), employing various machine learning (ML) algorithms for data analysis, prediction, and optimization. Each section discusses common ML algorithms and specific applications, emphasizing the potential and challenges in advancing regenerative therapies.
期刊介绍:
Tissue Engineering Reviews (Part B) meets the urgent need for high-quality review articles by presenting critical literature overviews and systematic summaries of research within the field to assess the current standing and future directions within relevant areas and technologies. Part B publishes bi-monthly.