Recent trends in stem cell-based therapies and applications of artificial intelligence in regenerative medicine

被引:13
|
作者
Mukherjee, Sayali [1 ]
Yadav, Garima [1 ]
Kumar, Rajnish [1 ]
机构
[1] Amity Univ Uttar Pradesh, Amity Inst Biotechnol, Lucknow 226028, Uttar Pradesh, India
来源
WORLD JOURNAL OF STEM CELLS | 2021年 / 13卷 / 06期
关键词
Artificial intelligence; Machine learning; Mesenchymal stem cells; Regenerative medicine; Stem cells; Therapy; MESENCHYMAL STROMAL CELLS; VERSUS-HOST-DISEASE; HUMAN IPS CELLS; BONE-MARROW; DOPAMINE NEURONS; PROGENITOR CELLS; MACULAR DEGENERATION; CROHNS-DISEASE; CORD BLOOD; DIFFERENTIATION;
D O I
10.4252/wjsc.v13.i6.521
中图分类号
Q813 [细胞工程];
学科分类号
摘要
Stem cells are undifferentiated cells that can self-renew and differentiate into diverse types of mature and functional cells while maintaining their original identity. This profound potential of stem cells has been thoroughly investigated for its significance in regenerative medicine and has laid the foundation for cell-based therapies. Regenerative medicine is rapidly progressing in healthcare with the prospect of repair and restoration of specific organs or tissue injuries or chronic disease conditions where the body's regenerative process is not sufficient to heal. In this review, the recent advances in stem cell-based therapies in regenerative medicine are discussed, emphasizing mesenchymal stem cell-based therapies as these cells have been extensively studied for clinical use. Recent applications of artificial intelligence algorithms in stem cell-based therapies, their limitation, and future prospects are highlighted.
引用
收藏
页码:521 / 541
页数:21
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