寻找超难以捉摸的：计算机心肺造影能增强气体交换异常的早期检测吗？

IF 2.6 4区医学 Q2 PHYSIOLOGY

Experimental Physiology Pub Date : 2025-06-17 DOI:10.1113/EP092925

Harry B Rossiter, Yannick Molgat-Seon

引用次数: 0

摘要

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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The search for the ultra-elusive: Can computed cardiopulmonography enhance early detection of gas exchange abnormality?

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来源期刊

Experimental Physiology 医学-生理学

CiteScore

5.10

自引率

3.70%

发文量

262

审稿时长

1 months

期刊介绍： Experimental Physiology publishes research papers that report novel insights into homeostatic and adaptive responses in health, as well as those that further our understanding of pathophysiological mechanisms in disease. We encourage papers that embrace the journal’s orientation of translation and integration, including studies of the adaptive responses to exercise, acute and chronic environmental stressors, growth and aging, and diseases where integrative homeostatic mechanisms play a key role in the response to and evolution of the disease process. Examples of such diseases include hypertension, heart failure, hypoxic lung disease, endocrine and neurological disorders. We are also keen to publish research that has a translational aspect or clinical application. Comparative physiology work that can be applied to aid the understanding human physiology is also encouraged. Manuscripts that report the use of bioinformatic, genomic, molecular, proteomic and cellular techniques to provide novel insights into integrative physiological and pathophysiological mechanisms are welcomed.