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

IF 1.3 Q4 RHEUMATOLOGY
Tomohiro Koga, Shin-Ya Kawashiri, Fumiaki Nonaka, Yoshika Tsuji, Mami Tamai, Atsushi Kawakami
{"title":"The COVID-19 Pandemic Heightens Interest in Cytokine Storm Disease and Advances in Machine Learning Diagnosis, Telemedicine, and Primordial Prevention of Rheumatic Diseases.","authors":"Tomohiro Koga, Shin-Ya Kawashiri, Fumiaki Nonaka, Yoshika Tsuji, Mami Tamai, Atsushi Kawakami","doi":"10.5152/eurjrheum.2024.23059","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":12066,"journal":{"name":"European journal of rheumatology","volume":"11 4","pages":"410-417"},"PeriodicalIF":1.3000,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11639611/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European journal of rheumatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5152/eurjrheum.2024.23059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
引用次数: 0

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.

COVID-19 大流行提高了人们对细胞因子风暴病的兴趣,并推动了机器学习诊断、远程医疗和风湿病初级预防的发展。
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确定疾病严重程度方面的关键作用。这一新发现的认识具有重大的潜力,将带来自身免疫性疾病的诊断、治疗和管理的范式转变。该领域新兴的先进技术有望在这一转变中发挥关键作用。其中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疗,以及实施远程医疗以弥合医疗保健提供方面现有的地区差距。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,探索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,我们旨在介绍最新的研究成果和专家的见解,并讨论这些研究领域的未来前景和方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
56
审稿时长
7 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信