A review on the applications of machine learning in biomaterials, biomechanics, and biomanufacturing for tissue engineering
Rong Fu, Zhenghong Chen, Hua Tian, Jiajie Hu, Feifei Bu, Zheng Peng, Liang Chi, Lulu Xue, Qing Jiang, Lan Li, Liya Zhu
Abstract
In recent years, machine learning, a powerful data analysis and modeling technique, is continuously revolutionizing the field of tissue engineering, and its ability to learn and extract information from complex datasets opens up new opportunities for the development of tissue engineering. In this paper, we first provide a categorized overview of different types of machine learning algorithms, and then focus on the recent advances in the application of machine learning in tissue engineering, summarize its latest applications in biomaterials, biomechanics, and biomanufacturing, and discuss the challenges faced and future prospects, with the aim of providing scientific references for researchers to achieve further progress in the fields of tissue engineering and machine learning.