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虫媒病毒与新冠病毒：全球健康挑战与人类增强技术

Arboviruses and COVID-19: Global Health Challenges and Human Enhancement Technologies.

作者信息

Murugesan Rengarajan, Prabhu Srinivasan, Caleb John T D, Francis Yuvaraj Maria, Pulidindi Indra Neel

机构信息

Department of Zoology, Annai Vailankanni Arts and Science College (Affiliated to Bharathidasan University), Thanjavur 613 007, Tamil Nadu, India.

Division of Phytochemistry and Drug Design, Department of Biosciences, Rajagiri College of Social Sciences, Cochin 683 104, Kerala, India.

出版信息

Bioengineering (Basel). 2025 Jul 1;12(7):725. doi: 10.3390/bioengineering12070725.

DOI:10.3390/bioengineering12070725
PMID:40722416
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12292293/
Abstract

Currently, there is increasing concern about severe illnesses, particularly those caused by viruses such as SARS-CoV-2 and arboviruses [...].

摘要

目前，人们对严重疾病，尤其是由新冠病毒和虫媒病毒等病毒引起的疾病越来越关注。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b4e9/12292293/a1af03b657d1/bioengineering-12-00725-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b4e9/12292293/a1af03b657d1/bioengineering-12-00725-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b4e9/12292293/a1af03b657d1/bioengineering-12-00725-g001.jpg

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Front Immunol. 2025 May 19;16:1576557. doi: 10.3389/fimmu.2025.1576557. eCollection 2025.
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Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review.应用于新冠肺炎预测的机器学习技术：系统文献综述
Bioengineering (Basel). 2025 May 13;12(5):514. doi: 10.3390/bioengineering12050514.
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A Bayesian Survival Analysis on Long COVID and Non-Long COVID Patients: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data.
长新冠患者与非长新冠患者的贝叶斯生存分析：一项使用国家新冠队列协作组（N3C）数据的队列研究
Bioengineering (Basel). 2025 May 7;12(5):496. doi: 10.3390/bioengineering12050496.
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Bringing Precision to Pediatric Care: Explainable AI in Predicting No-Show Trends Before and During the COVID-19 Pandemic.为儿科护理带来精准性：在预测COVID-19大流行之前及期间的爽约趋势方面的可解释人工智能
Bioengineering (Basel). 2025 Feb 24;12(3):227. doi: 10.3390/bioengineering12030227.
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AutoML-Driven Insights into Patient Outcomes and Emergency Care During Romania's First Wave of COVID-19.自动机器学习驱动的罗马尼亚第一波新冠疫情期间患者预后及急诊护理洞察
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