爆炸损伤评价模型：综述

IF 4.6 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

iScience Pub Date : 2025-06-06 DOI:10.1016/j.isci.2025.112830

Rui Liang , Hong Wang , Junhong Gao , Jianmin Wang , Wenjuan Zhang , Airong Qian

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引用次数: 0

摘要

通过数值模拟、动物模型和死后人体替代物（PMHS）评估，颅脑和肺损伤是爆炸引起的原发性损伤。近年来，冲击波细胞模型和类器官模型的成功发展为爆炸损伤评价提供了新的研究方向。特别是人类衍生的类器官，可以高度模拟人体器官的结构和功能，显著增强了模型的生理相关性。此外，基于人工智能的模型（机器/深度学习）在爆炸损伤预测和评估方面显示出很大的前景。本文系统地综述了爆炸冲击波的生物学效应、传统评估模型的应用及其局限性，以及新兴技术——细胞/器官模型和人工智能的应用。利用细胞模型、人源类器官模型和人工智能模型来评估爆炸诱导的生物损伤及其后续研究，对于理解损伤的细胞机制、保护性研究和损伤预警系统具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Assessment model of blast injury: A narrative review

Craniocerebral and pulmonary injuries are primary blast-induced damages, assessed via numerical simulations, animal models, and postmortem human surrogates (PMHS). Recent years, the successful development of shock wave cell models and organoid models has provided new research directions for evaluation of blast injuries. Particularly human-derived organoids that can highly simulating the structure and function of human organs, significantly enhancing the physiological relevance of the models. Additionally, AI-based models (machine/deep learning) show promise in blast injury prediction and assessment. This review systematically summarizes the biological effects of explosive shock waves, the application of conventional assessment models and their limitations, and emerging technologies—cell/organoid models and AI applications. The utilization of cell models, human-derived organoid models, and AI models for the assessment of blast-induced biological injuries and subsequent research holds significant importance for understanding the cellular mechanisms of injury, protective research, and injury warning systems.

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来源期刊

iScience Multidisciplinary-Multidisciplinary

CiteScore

7.20

自引率

1.70%

发文量

1972

审稿时长

6 weeks

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