{"title":"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。","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":"{\"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}","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}
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.