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爆炸伤害的评估模型:一个叙事审查

Rui Liang¹, Hong Wang², Junhong Gao²

¹Xi'an Key Laboratory of Special Medicine and Health Engineering, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.

|July 4, 2025

概括

本综述探讨了爆炸伤害评估,强调了新型细胞,有机体和人工智能模型. 这些先进的方法提高了对爆炸性冲击波对人体组织的影响和伤害预测的理解.

科学领域:

生物医学工程生物医学工程
毒理学毒理学毒理学
计算生物学计算生物学

背景情况:

爆炸损伤,包括脑和肺损伤,传统上使用数值模拟,动物模型和死后人体替代品 (PMHS) 进行评估.
传统模型在爆炸引起的创伤的生理相关性和预测准确性方面存在局限性.
新兴技术为研究爆炸伤害机制提供了增强的能力.

研究的目的:

系统地审查爆炸性冲击波对生物的影响.
评估传统爆炸伤害评估模型的应用和局限性.
探索新兴细胞,有机体和人工智能模型在爆炸伤害研究中的潜力.

主要方法:

关于爆炸伤害评估现有研究的文献综述.
分析传统方法,如数值模拟,动物模型和PMHS.
研究新的方法,包括冲击波细胞模型,人类衍生器官和人工智能 (机器/深度学习) 应用.

主要成果:

细胞和有机体模型,特别是人类衍生的模型,可以更好地模拟人类器官结构和功能,提高生理学相关性.
基于人工智能的模型在预测和评估爆炸伤害方面显示出重大前景.
传统模型在充分捕捉爆炸创伤的复杂性方面存在固有的局限性.

结论:

细胞模型,人类衍生器官和人工智能代表了爆炸伤害评估的重大进步.
这些新兴技术对于了解细胞层面的损伤机制至关重要.
未来利用这些模型的研究可以改善与爆炸有关的创伤的保护策略和伤害预警系统.

关键词:

生物科学生物科学计算机科学计算机科学卫生科学卫生科学

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