大流行
2019年冠状病毒病(COVID-19)
疾病
科学网
索引(排版)
引用
科学引文索引
医学
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
梅德林
政治学
病理
计算机科学
图书馆学
传染病(医学专业)
法学
万维网
作者
Luis Daniel Goyzueta-Mamani,Miguel Á. Chávez‐Fumagalli,Karla Alvarez-Fernandez,Jorge Alberto Aguilar-Pineda,Rita Nieto-Montesinos,Gonzalo Davila Del-Carpio,Karin J. Vera-López,Christian L. Lino Cardenas
标识
DOI:10.2174/1872208316666220408114129
摘要
Alzheimer's disease (AD) is characterized by cognitive impairment, tau protein deposits, and amyloid beta plaques. AD impacted 44 million people in 2016, and it is estimated to affect 100 million people by 2050. AD is disregarded as a pandemic compared with other diseases. To date, there is no effective treatment or diagnosis.We aimed to discuss the current tools used to diagnose COVID-19, point out their potential to be adapted for AD diagnosis, and review the landscape of existing patents in the AD field and future perspectives for AD diagnosis.We carried out a scientific screening following a research strategy in PubMed; Web of Science; the Derwent Innovation Index; the KCI-Korean Journal Database; Sci- ELO; the Russian Science Citation index; and the CDerwent, EDerwent, and MDerwent index databases.A total of 326 from 6,446 articles about AD and 376 from 4,595 articles about COVID-19 were analyzed. Of these, AD patents were focused on biomarkers and neuroimaging with no accurate, validated diagnostic methods, and only 7% of kit development patents were found. In comparison, COVID-19 patents were 60% about kit development for diagnosis; they are highly accurate and are now commercialized.AD is still neglected and not recognized as a pandemic that affects the people and economies of all nations. There is a gap in the development of AD diagnostic tools that could be filled if the interest and effort that has been invested in tackling the COVID-19 emergency could also be applied for innovation.
科研通智能强力驱动
Strongly Powered by AbleSci AI