2019年冠状病毒病(COVID-19)
标准化
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
重症监护医学
2019-20冠状病毒爆发
医学
呼出气冷凝液
罗氏诊断公司
数据科学
风险分析(工程)
计算机科学
病理
疾病
免疫学
传染病(医学专业)
内科学
爆发
哮喘
操作系统
作者
Lorena Díaz de León-Martínez,G. Flores-Rangel,Luz Eugenia Alcántara-Quintana,Boris Mizaikoff
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2024-12-16
被引量:1
标识
DOI:10.1021/acssensors.4c02280
摘要
Long COVID (LC) is a great global health concern, affecting individuals recovering from SARS-CoV-2 infection. The persistent and varied symptoms across multiple organs complicate diagnosis and management, and an incomplete understanding of the condition hinders advancements in therapeutics. Current diagnostic methods face challenges related to standardization and completeness. To overcome this, new technologies such as sensor-based electronic noses are being explored for LC assessment, offering a noninvasive screening approach via volatile organic compounds (VOC) sensing in exhaled breath. Although specific LC-associated VOCs have not been fully characterized, insights from COVID-19 research suggest their potential as biomarkers. Additionally, AI-driven chemometrics are promising in identifying and predicting outcomes; despite challenges, AI-driven technologies hold the potential to enhance LC evaluation, providing rapid and accurate diagnostics for improved patient care and outcomes. This review underscores the importance of emerging and sensing technologies and comprehensive diagnostic strategies to address screening and treatment challenges in the face of LC.
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