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Updated: Jun 29, 2025

Experimental Approaches to Tissue Engineering
Published on: August 30, 2007
Application of Artificial Intelligence in Tissue Engineering
Reza Bagherpour1, Ghasem Bagherpour2,3, Parvin Mohammadi3,4
1Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran.
Abstract:
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.

