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  1. Home
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  4. AI in angiogenesis: moving towards designer vasculature
 
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AI in angiogenesis: moving towards designer vasculature

Date Issued
2023-01-01
Author(s)
Pradhan, Bikash K.
Saha, Sahely
Pal, Kunal
Banerjee, Indranil
DOI
10.1016/B978-0-443-18498-7.00009-0
Abstract
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.
Subjects
  • Angiogenesis

  • Artificial Intelligen...

  • Deep learning

  • Machine learning

  • Tissue engineering

  • Vasculature

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