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利用人工智能进行干细胞治疗的发展。

Developments in Stem Cell Therapy by Utilizing Artificial Intelligence.

机构信息

Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India.

出版信息

Curr Pharm Des. 2023;29(28):2223-2228. doi: 10.2174/0113816128266696230926094423.

Abstract

Undifferentiated cells, known as stem cells, have the capacity to self-renew and specialise in a variety of distinct mature and functional cell types while still retaining their original identity. For their significance in regenerative medicine, stem cells' deep potential has been widely examined, and this work has established the groundwork for cell-based therapeutics. With the potential to repair and restore specific organs or tissue injuries or chronic disease situations when the body's regenerative process is insufficient to heal, regenerative medicine is quickly advancing in healthcare. The most recent developments in stem cell-based treatments for regenerative medicine are covered in this review, focusing on mesenchymal stem cell-based treatments because these cells have received the most clinical research. The most recent applications of artificial intelligence algorithms in stem cell-based therapeutics are presented, along with their limitations and potential future applications.

摘要

未分化细胞,又称干细胞,具有自我更新和特化成为多种不同成熟和功能细胞类型的能力,同时仍保留其原始身份。由于其在再生医学中的重要性,干细胞的巨大潜力已被广泛研究,这项工作为基于细胞的治疗奠定了基础。再生医学在医疗保健领域迅速发展,因为它有可能修复和恢复特定器官或组织损伤或慢性疾病情况,而当身体的再生过程不足以治愈时。本综述介绍了基于干细胞的再生医学治疗的最新进展,重点介绍了基于间充质干细胞的治疗方法,因为这些细胞已经接受了最多的临床研究。还介绍了人工智能算法在基于干细胞的治疗中的最新应用,以及它们的局限性和潜在的未来应用。

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