AI Integration in Lung Scaffolds for Biomaterial Selection and Properties
Keywords:
lung tissue engineering, biomaterials, scaffold properties, artificial intelligence, tissue engineeringAbstract
Chronic lung diseases, including emphysema, interstitial fibrosis, and pulmonary vascular diseases, are the third leading cause of death worldwide, affecting more than 500 million people. These diseases are currently treated with lung transplantation when other medical therapies fail; however, there are significant challenges including donor shortages and high mortality rates, with over 75% of implanted lungs failing within 10 years. To address these limitations, lung tissue engineering (LTE) has emerged as an alternative approach to treat chronic lung diseases by transplanting functional bioengineered lungs. This review article aims to highlight the importance of biomaterial selection and to analyze the chemical and mechanical properties that are ideal for lung scaffolds. In this paper, AI applications in various LTE technologies that support the optimization of biomaterial selection and scaffold design are explored. The discussion of these topics gives a comprehensive overview of the material properties and emerging AI technologies improving the designs of lung scaffolds and their functionality. The integration of AI in scaffold design will produce progress in LTE as it will lead to more effective lung scaffolds.
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