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Artificial Intelligence in Regenerative Medicine: Applications and Implications

The field of regenerative medicine is constantly advancing and aims to repair, regenerate, or substitute impaired or unhealthy tissues and organs using cutting-edge approaches such as stem cell-based therapies, gene therapy, and tissue engineering. Nevertheless, incorporating artificial intelligence...

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Detalles Bibliográficos
Autores principales: Nosrati, Hamed, Nosrati, Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526210/
https://www.ncbi.nlm.nih.gov/pubmed/37754193
http://dx.doi.org/10.3390/biomimetics8050442
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author Nosrati, Hamed
Nosrati, Masoud
author_facet Nosrati, Hamed
Nosrati, Masoud
author_sort Nosrati, Hamed
collection PubMed
description The field of regenerative medicine is constantly advancing and aims to repair, regenerate, or substitute impaired or unhealthy tissues and organs using cutting-edge approaches such as stem cell-based therapies, gene therapy, and tissue engineering. Nevertheless, incorporating artificial intelligence (AI) technologies has opened new doors for research in this field. AI refers to the ability of machines to perform tasks that typically require human intelligence in ways such as learning the patterns in the data and applying that to the new data without being explicitly programmed. AI has the potential to improve and accelerate various aspects of regenerative medicine research and development, particularly, although not exclusively, when complex patterns are involved. This review paper provides an overview of AI in the context of regenerative medicine, discusses its potential applications with a focus on personalized medicine, and highlights the challenges and opportunities in this field.
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spelling pubmed-105262102023-09-28 Artificial Intelligence in Regenerative Medicine: Applications and Implications Nosrati, Hamed Nosrati, Masoud Biomimetics (Basel) Review The field of regenerative medicine is constantly advancing and aims to repair, regenerate, or substitute impaired or unhealthy tissues and organs using cutting-edge approaches such as stem cell-based therapies, gene therapy, and tissue engineering. Nevertheless, incorporating artificial intelligence (AI) technologies has opened new doors for research in this field. AI refers to the ability of machines to perform tasks that typically require human intelligence in ways such as learning the patterns in the data and applying that to the new data without being explicitly programmed. AI has the potential to improve and accelerate various aspects of regenerative medicine research and development, particularly, although not exclusively, when complex patterns are involved. This review paper provides an overview of AI in the context of regenerative medicine, discusses its potential applications with a focus on personalized medicine, and highlights the challenges and opportunities in this field. MDPI 2023-09-20 /pmc/articles/PMC10526210/ /pubmed/37754193 http://dx.doi.org/10.3390/biomimetics8050442 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Nosrati, Hamed
Nosrati, Masoud
Artificial Intelligence in Regenerative Medicine: Applications and Implications
title Artificial Intelligence in Regenerative Medicine: Applications and Implications
title_full Artificial Intelligence in Regenerative Medicine: Applications and Implications
title_fullStr Artificial Intelligence in Regenerative Medicine: Applications and Implications
title_full_unstemmed Artificial Intelligence in Regenerative Medicine: Applications and Implications
title_short Artificial Intelligence in Regenerative Medicine: Applications and Implications
title_sort artificial intelligence in regenerative medicine: applications and implications
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526210/
https://www.ncbi.nlm.nih.gov/pubmed/37754193
http://dx.doi.org/10.3390/biomimetics8050442
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