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新冠疫情提高了对细胞因子风暴疾病的关注度,并推动了机器学习诊断、远程医疗以及风湿病初级预防等方面的进展。

The COVID-19 Pandemic Heightens Interest in Cytokine Storm Disease and Advances in Machine Learning Diagnosis, Telemedicine, and Primordial Prevention of Rheumatic Diseases.

作者信息

Koga Tomohiro, Kawashiri Shin-Ya, Nonaka Fumiaki, Tsuji Yoshika, Tamai Mami, Kawakami Atsushi

机构信息

Division of Advanced Preventive Medical Sciences, Department of Immunology and Rheumatology, Nagasaki University Graduate School of Biomedical Sciences, Sakamoto, Nagasaki, Japan.

Department of Community Medicine, Nagasaki University Graduate School of Biomedical Sciences, Sakamoto, Nagasaki, Japan.

出版信息

Eur J Rheumatol. 2024 Nov 28;11(4):410-417. doi: 10.5152/eurjrheum.2024.23059.

Abstract

Insights gained during the coronavirus disease 2019 pandemic has underscored the critical role played by both innate and adaptive immune responses in determining the severity of diseases. This newfound understanding holds significant potential to bring about a paradigm shift in the diagnosis, treatment, and management of autoimmune conditions. Advanced technologies that are emerging in the field are expected to play a pivotal role in this transformation. These include the utilization of multi-omics analysis to stratify disease states, the application of precision medicine through the integration of digital technologies, and the implementation of telemedicine to bridge existing regional disparities in healthcare provision. The objective of this descriptive review is to offer a detailed overview of reclassifying cytokine storm diseases, explore the use of machine learning methodologies in autoimmune diseases, and highlight the importance of incorporating telemedicine and innovative prevention strategies into the management of rheumatoid arthritis. Through this review, we aim to present the most recent research findings and expert insights, and discuss the future prospects and directions in these areas of research.

摘要

在2019年冠状病毒病大流行期间获得的见解强调了先天免疫反应和适应性免疫反应在决定疾病严重程度方面所起的关键作用。这种新获得的认识具有巨大潜力,有望在自身免疫性疾病的诊断、治疗和管理方面带来范式转变。该领域正在涌现的先进技术预计将在这一转变中发挥关键作用。这些技术包括利用多组学分析对疾病状态进行分层,通过整合数字技术应用精准医学,以及实施远程医疗以弥合现有医疗服务中的地区差距。这篇描述性综述的目的是详细概述细胞因子风暴疾病的重新分类,探讨机器学习方法在自身免疫性疾病中的应用,并强调将远程医疗和创新预防策略纳入类风湿关节炎管理的重要性。通过这篇综述,我们旨在展示最新的研究发现和专家见解,并讨论这些研究领域的未来前景和方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e5d/11639611/cbbe2dacae0a/ejr-11-4-410_f001.jpg

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