人工智能驱动的创新:推进介酶干细胞疗法和用于再生医学的智能生物材料
Mengyu Huang1, Waruna Lakmal Dissanayaka2, Cynthia K Y Yiu1
1Division of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, The University of Hong Kong, 34 Hospital Road, Hong Kong SAR, China.
Bioengineering (Basel, Switzerland)
|December 30, 2025
概括
人工智能 (AI) 通过预测介质干细胞 (MSC) 行为和设计智能生物材料来增强再生医学. 挑战包括数据碎片化和翻译差距,需要进一步研究临床应用.
科学领域:
- 再生医学是一种再生医学.
- 生物材料科学 生物材料科学
- 计算生物学 计算生物学
背景情况:
- 人工智能 (AI) 正在改变再生医学.
- 介质细胞干细胞 (MSC) 和智能生物材料是重点关注的关键领域.
- 目前的方法在数据整合和临床翻译方面面临挑战.
研究的目的:
- 审查人工智能在推进MSC疗法和智能生物材料方面的作用.
- 突出AI在生物预测和材料工程中的应用.
- 确定当前的挑战和未来的研究方向.
主要方法:
- 对MSC预测的多omics和成像数据的分析.
- 对于MSC差异化和异质性的深度学习模型.
- 机器学习和生成AI用于生物材料设计和选.
主要成果:
- 人工智能准确地预测MSC分化,免疫调节功能和治疗潜力.
- 人工智能模型揭示了监管网络,并破译了MSC异质性.
- 人工智能使得以数据为驱动的新型生物材料的设计具有有针对性的特性,如加速伤口愈合.
结论:
- 人工智能通过提高MSC疗法的精度和实现数据驱动的生物材料设计,显著提升了再生医学.
- 关键的挑战包括碎片化证据,模型可重复性和翻译差距.
- 未来的研究必须解决这些瓶,以实现AI在临床应用中的全部潜力.
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