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物联网医疗(IoMT)集成生物传感器,用于即时检测传染病。

Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases.

机构信息

Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India.

Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India; Department of Mechanical Engineering, UIET, Panjab University, Chandigarh, 160014, India.

出版信息

Biosens Bioelectron. 2021 May 1;179:113074. doi: 10.1016/j.bios.2021.113074. Epub 2021 Feb 6.


DOI:10.1016/j.bios.2021.113074
PMID:33596516
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7866895/
Abstract

On global scale, the current situation of pandemic is symptomatic of increased incidences of contagious diseases caused by pathogens. The faster spread of these diseases, in a moderately short timeframe, is threatening the overall population wellbeing and conceivably the economy. The inadequacy of conventional diagnostic tools in terms of time consuming and complex laboratory-based diagnosis process is a major challenge to medical care. In present era, the development of point-of-care testing (POCT) is in demand for fast detection of infectious diseases along with "on-site" results that are helpful in timely and early action for better treatment. In addition, POCT devices also play a crucial role in preventing the transmission of infectious diseases by offering real-time testing and lab quality microbial diagnosis within minutes. Timely diagnosis and further treatment optimization facilitate the containment of outbreaks of infectious diseases. Presently, efforts are being made to support such POCT by the technological development in the field of internet of medical things (IoMT). The IoMT offers wireless-based operation and connectivity of POCT devices with health expert and medical centre. In this review, the recently developed POC diagnostics integrated or future possibilities of integration with IoMT are discussed with focus on emerging and re-emerging infectious diseases like malaria, dengue fever, influenza A (H1N1), human papilloma virus (HPV), Ebola virus disease (EVD), Zika virus (ZIKV), and coronavirus (COVID-19). The IoMT-assisted POCT systems are capable enough to fill the gap between bioinformatics generation, big rapid analytics, and clinical validation. An optimized IoMT-assisted POCT will be useful in understanding the diseases progression, treatment decision, and evaluation of efficacy of prescribed therapy.

摘要

从全球范围来看,当前的大流行状况表明,由病原体引起的传染病发病率正在上升。这些疾病在较短的时间内更快地传播,正在威胁着整个人群的健康,可能还会影响经济。传统诊断工具在耗时和基于实验室的复杂诊断过程方面存在不足,这是医疗保健面临的主要挑战。在当前时代,即时检测(POCT)的发展是为了快速检测传染病,以及提供“现场”结果,以便及时采取早期行动,进行更好的治疗。此外,POCT 设备还通过实时检测和实验室质量微生物诊断,在几分钟内提供即时检测和实验室质量微生物诊断,在预防传染病传播方面发挥着至关重要的作用。及时诊断和进一步治疗优化有助于控制传染病的爆发。目前,人们正在努力通过物联网(IoT)领域的技术发展来支持这种 POCT。IoT 提供了 POCT 设备的无线操作和与健康专家和医疗中心的连接。在这篇综述中,讨论了最近开发的与 IoT 集成或未来可能集成的 POCT 诊断,重点是疟疾、登革热、甲型流感(H1N1)、人乳头瘤病毒(HPV)、埃博拉病毒病(EVD)、寨卡病毒(ZIKV)和冠状病毒(COVID-19)等新兴和再现传染病。IoT 辅助的 POCT 系统足以填补生物信息学产生、快速分析和临床验证之间的空白。优化的 IoT 辅助 POCT 将有助于了解疾病进展、治疗决策以及评估规定治疗的效果。

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