血管生成
血管生成
脚手架
过程(计算)
计算机科学
工程类
生物
干细胞
癌症研究
细胞生物学
祖细胞
数据库
操作系统
作者
Bikash K. Pradhan,Sahely Saha,Kunal Pal,Indranil Banerjee
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2023-01-01
卷期号:: 99-116
标识
DOI:10.1016/b978-0-443-18498-7.00009-0
摘要
The present approach of creating vasculature inside the scaffold or engineered tissue majorly relies on the use of cues from angiogenesis or vasculogenesis. In the recent years, artificial intelligence (AI) and machine learning (ML) have emerged as very powerful tool to analyze and predict various complex biological processes. In tissue engineering also, people have started using AIML extensively for material discovery and selection, scaffold designing, material composition, and process parameter optimization and for predicting the performance of the engineered tissue. This chapter provides a comprehensive picture of the potential application of AI in creating customized vasculature through angiogenesis and vasculogenesis. We also discussed the different models of AI that are used for the designing and developing of engineered tissue for analyzing vasculature and angiogenesis. Subsequently, we presented the concepts of designer vasculature and technical advances in this area with a conclusion on future directives for the research.
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