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dc.contributor.author Tamadon, Amin
dc.contributor.author Mussin, Nadiar M.
dc.contributor.author Kaliyev, Asset A.
dc.date.accessioned 2025-01-10T10:22:28Z
dc.date.available 2025-01-10T10:22:28Z
dc.date.issued 2024-09-26
dc.identifier.other DOI: 10.18502/wkmj.v66i3.16764
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/409
dc.description 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. ru
dc.description.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. ru
dc.language.iso en ru
dc.publisher West Kazakhstan Medical Journal ru
dc.subject artificial intelligence ru
dc.subject regenerative medicine ru
dc.subject biomarkers ru
dc.subject personalized medicine ru
dc.subject tissue engineering ru
dc.title The Transformative Role of Artificial Intelligence in Regenerative Medicine ru
dc.type Article ru


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