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首页> 外文期刊>Aviation, space, and environmental medicine. >[067] IN SILICO/COMPUTATIONAL MODELING EFFORTS TO MITIGATE AEROTOXIC SYNDROME
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[067] IN SILICO/COMPUTATIONAL MODELING EFFORTS TO MITIGATE AEROTOXIC SYNDROME

机译:[067]在硅/计算建模努力减轻雾毒综合征

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INTRODUCTION: The 711th Human Performance Wing conducted a study to investigate the etiology of reported respiratory symptoms and alleviate one of the most common health-related complaints of high-performance aircraft flight. This study found a positive statistical association between respiratory effects and a short list of potentially toxic chemicals. To better extrapolate in-flight exposure of pilots to compounds and improve aerotoxic syndrome mitigation, physiologically based pharmacokinetic (PBPK) and quantitative structure activity relationship (QSAR) in silico modeling tools have been employed. METHODS: PBPK is a mathematical modeling technique for predicting the absorption, distribution, metabolism, and excretion of chemical substances in humans.
机译:简介:第711届人类表现翼进行了一项研究,探讨了报告的呼吸系统症状的病因,并减轻了高性能飞机飞行最常见的健康相关投诉之一。 本研究发现呼吸效应与潜在有毒化学品的简短列表之间的阳性统计结合。 为了更好地推断飞行员的飞行飞行,并改善雾毒综合征缓解,已经采用了Silico建模工具中的生理基础的药代动力学(PBPK)和定量结构活性关系(QSAR)。 方法:PBPK是一种用于预测人类中化学物质的吸收,分布,新陈代谢和排泄的数学建模技术。

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