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。

IF 1.3 Q4 RHEUMATOLOGY
Tomohiro Koga, Shin-Ya Kawashiri, Fumiaki Nonaka, Yoshika Tsuji, Mami Tamai, Atsushi Kawakami
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引用次数: 0

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

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.

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