在10年的时间里,人工智能在基于诱导多能干细胞的技术中的使用:系统的范围审查
Quan Duy Vo1,2, Yukihiro Saito3, Toshihiro Ida1
1Faculty of Medicine, Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
PloS one
|May 21, 2024
概括
人工智能 (AI) 正在通过增强细胞分类,功能监测和疾病建模和药物查的遗传分析来彻底改变诱导多能干细胞 (iPSC) 研究.
科学领域:
- 生物技术是生物技术.
- 干细胞研究 干细胞研究
- 人工智能的人工智能
背景情况:
- 诱导多能干细胞 (iPSC) 技术已经取得了重大进展.
- 人工智能 (AI),包括机器学习 (ML) 和深度学习 (DL),对于完善iPSC分类,功能监控和遗传分析至关重要.
- 这些人工智能驱动的增强扩展了iPSC在疾病建模,药物查和再生医学中的应用.
研究的目的:
- 探索人工智能在推动iPSC研究中的关键作用.
- 系统地审查AI在iPSC技术中的整合和影响.
主要方法:
- 进行了系统的范围审查.
- 这些数据是在2023年12月从PubMed,Web of Science和Science Direct收集的.
- 包括79项符合纳入标准的研究.
主要成果:
- 人工智能和iPSC技术的研究正在迅速增加,美国是主要的贡献者.
- 人工智能在iPSC技术中用于细胞分类,疾病表型评估和药物查.
- 人工智能方法已经显示出显著的精度改进,支持未来的iPSC技术进步.
结论:
- 人工智能在再生和个性化医学中发挥着关键作用,提出了挑战和机遇.
- 人工智能技术对促进疾病进展的理解有很大的前景.
- 人工智能正在为再生医学未来的临床应用铺平道路.
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