新兴技术
医学
人类免疫缺陷病毒(HIV)
生物标志物
检测点注意事项
纳米医学
计算生物学
基因组学
数据科学
计算机科学
纳米技术
人工智能
生物
病毒学
基因组
免疫学
生物化学
材料科学
纳米颗粒
基因
作者
Nitika Pant Pai,Angela Karellis,John Kim,Trevor Peter
出处
期刊:The Lancet HIV
[Elsevier BV]
日期:2020-08-01
卷期号:7 (8): e574-e581
被引量:34
标识
DOI:10.1016/s2352-3018(20)30190-9
摘要
Novel diagnostic technologies, including nanotechnology, microfluidics, -omics science, next-generation sequencing, genomics big data, and machine learning, could contribute to meeting the UNAIDS 95-95-95 targets to end the HIV epidemic by 2030. Novel technologies include multiplexed technologies (including biomarker-based point-of-care tests and molecular platform technologies), biomarker-based combination antibody and antigen technologies, dried-blood-spot testing, and self-testing. Although biomarker-based rapid tests, in particular antibody-based tests, have dominated HIV diagnostics since the development of the first HIV test in the mid-1980s, targets such as nucleic acids and genes are now used in nanomedicine, biosensors, microfluidics, and -omics to enable early diagnosis of HIV. These novel technologies show promise as they are associated with ease of use, high diagnostic accuracy, rapid detection, and the ability to detect HIV-specific markers. Additional clinical and implementation research is needed to generate evidence for use of novel technologies and a public health approach will be required to address clinical and operational challenges to optimise their global deployment.
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