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A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine

机译:生物素生理发动机脓毒症进展和治疗的全身数学模型

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摘要

Sepsis is a debilitating condition associated with a high mortality rate that greatly strains hospital resources. Though advances have been made in improving sepsis diagnosis and treatment, our understanding of the disease is far from complete. Mathematical modeling of sepsis has the potential to explore underlying biological mechanisms and patient phenotypes that contribute to variability in septic patient outcomes. We developed a comprehensive, whole-body mathematical model of sepsis pathophysiology using the BioGears Engine, a robust open-source virtual human modeling project. We describe the development of a sepsis model and the physiologic response within the BioGears framework. We then define and simulate scenarios that compare sepsis treatment regimens. As such, we demonstrate the utility of this model as a tool to augment sepsis research and as a training platform to educate medical staff.
机译:败血症是一种与高死亡率相关的衰弱条件,极大地突出了医院资源。虽然在改善脓毒症诊断和治疗方面取得了进展,但我们对疾病的理解远非完整。败血症的数学建模有可能探索潜在的生物机制和患者表型,这有助于脓毒症患者结果的变异性。我们使用Biogears发动机开发了一种全面的全身数学模型,使用BioGears发动机,强大的开源虚拟人类建模项目。我们描述了败血症模型的发展和生物冷框架内的生理反应。然后,我们定义和模拟比较败血症治疗方案的场景。因此,我们展示了该模型作为增强败血症研究的工具的效用,作为教育医务人员的培训平台。

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