人工智能在 3D 生物打印中的最新进展和应用。

IF 3.4 Q2 BIOPHYSICS
Biophysics reviews Pub Date : 2024-07-19 eCollection Date: 2024-09-01 DOI:10.1063/5.0190208
Hongyi Chen, Bin Zhang, Jie Huang
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引用次数: 0

摘要

三维生物打印技术可实现活细胞、生物材料和生物分子的精确沉积,是一种前景广阔的功能性组织和器官工程方法。同时,三维生物打印技术的最新进展使研究人员能够构建具有精细控制和复杂微结构的体外模型,用于药物筛选和疾病建模。最近,人工智能(AI)已被应用于三维生物打印的不同阶段,包括医学图像重建、生物墨水选择和打印过程,其中既有经典的人工智能方法,也有机器学习方法。人工智能能够处理复杂的数据集、进行复杂的计算、从过去的经验中学习并动态优化流程,这使其成为推动三维生物打印技术发展的宝贵工具。综述重点介绍了目前人工智能在三维生物打印中的应用,并讨论了未来利用三维生物打印和人工智能的协同能力开发个性化组织和器官的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent advances and applications of artificial intelligence in 3D bioprinting.

3D bioprinting techniques enable the precise deposition of living cells, biomaterials, and biomolecules, emerging as a promising approach for engineering functional tissues and organs. Meanwhile, recent advances in 3D bioprinting enable researchers to build in vitro models with finely controlled and complex micro-architecture for drug screening and disease modeling. Recently, artificial intelligence (AI) has been applied to different stages of 3D bioprinting, including medical image reconstruction, bioink selection, and printing process, with both classical AI and machine learning approaches. The ability of AI to handle complex datasets, make complex computations, learn from past experiences, and optimize processes dynamically makes it an invaluable tool in advancing 3D bioprinting. The review highlights the current integration of AI in 3D bioprinting and discusses future approaches to harness the synergistic capabilities of 3D bioprinting and AI for developing personalized tissues and organs.

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