West Kazakhstan Medical Journal
ISSN: 2707-6180 (Print) 2707-6199 (Online)
Pioneering research advancing the frontiers of medical knowledge and healthcare practices.
The Transformative Role of Artificial Intelligence in Regenerative Medicine
Published date: Sep 26 2024
Journal Title: West Kazakhstan Medical Journal
Issue title: West Kazakhstan Medical Journal: Volume 66 Issue 3
Pages: 180–184
Authors:
Abstract:
Artificial intelligence (AI) has emerged as a transformative force in regenerative medicine, revolutionizing research, clinical applications, and personalized therapies. This article explores how AI accelerates the identification of biomarkers, optimizes cell and tissue engineering processes, and enhances treatment efficacy through personalized medicine approaches. AI's role in predictive analytics, robotic systems for tissue fabrication, and real-time monitoring tools underscores its potential to reshape the future of healthcare. Addressing ethical considerations is essential as AI continues to pave the way for innovative regenerative therapies.
References:
[1] Nosrati H, Nosrati M. Artificial intelligence in regenerative medicine: applications and implications. Biomimetics (Basel). 2023;8(5):442.
[2] Kommeri R, Thomas V. Artificial intelligence in tissue and organ regeneration. Sharma CP, Chandy T, Thomas V, editors. Elsevier; 2023. Chapter 7, Prospects of artificial intelligence in regeneration and repair of organs; p. 117–132.
[3] Lin C, Tian Q, Guo S, Xie D, Cai Y, Wang Z, et al. Metabolomics for clinical biomarker discovery and therapeutic target identification. Molecules. 2024;29(10):2198.
[4] Bagherpour R, Bagherpour G, Mohammadi P. Application of artificial intelligence in tissue engineering. Tissue Eng Part B Rev. 2024 [Ahead of print]. https://doi.org/10.1089/ten.teb.2024.0022
[5] Maleki Varnosfaderani S, Forouzanfar M. The role of AI in hospitals and clinics: transforming healthcare in the 21st century. Bioengineering (Basel). 2024;11(4):337.
[6] Khalifa M, Albadawy M. AI in diagnostic imaging: revolutionising accuracy and efficiency. Comput Methods Programs Biomed Update. 2024;5:100146.