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:: Volume 11, Issue 4 (Autumn 2023) ::
Shefaye Khatam 2023, 11(4): 94-107 Back to browse issues page
Application of Artificial Intelligence in Regenerative Medicine
Hekmat Farajpour , Behnaz Banimohamad-Shotorbani , Maryam Rafiei-Baharloo , Hajie Lotfi *
Cellular and Molecular Research Center, Research Institute for prevention of Non– Communicable Disease, Qazvin University of Medical Sciences, Qazvin, Iran , lotfi.hajie@yahoo.com
Abstract:   (482 Views)
Introduction: Optimizing tissue engineering processes requires models to predict structural and functional results by identifying relationships between different parameters and analyzing diverse processes. According to related medical studies, artificial intelligence has shown significant potential for data analysis and prediction. In the current study, the articles available in Google Scholar and PubMed, which were in the field of artificial intelligence applications in regenerative medicine and tissue engineering, were selected and studied. Artificial intelligence can play an effective role in designing, determining compounds, manufacturing, predicting the characteristics of various biomaterials and scaffolds, predicting cell behaviors, replacing animal studies, controlling biological reactors. Furthermore, using artificial intelligence leads to saving time and cost, accelerating and facilitating the achievement of optimal results. Conclusion: The use of artificial intelligence, including machine learning and deep learning, in the field of regenerative medicine and tissue engineering, makes it possible to analyze all types of tabular and image data, and has shown significant potential for data analysis, optimization, and prediction.

Keywords: Regenerative Medicine, Tissue Engineering, Artificial Intelligence
Full-Text [PDF 723 kb]   (245 Downloads)    
Type of Study: Review --- Open Access, CC-BY-NC | Subject: Basic research in Neuroscience
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Farajpour H, Banimohamad-Shotorbani B, Rafiei-Baharloo M, Lotfi H. Application of Artificial Intelligence in Regenerative Medicine. Shefaye Khatam 2023; 11 (4) :94-107
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Volume 11, Issue 4 (Autumn 2023) Back to browse issues page
مجله علوم اعصاب شفای خاتم The Neuroscience Journal of Shefaye Khatam
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