AI Article Synopsis
- Developing reliable diagnostic tests is crucial to controlling COVID-19, but traditional methods like ELISA and RT-PCR are often costly and complex to use.
- Lateral flow immunoassays (LFIA) offer a simpler and cheaper alternative, although they currently face issues with accuracy.
- The article discusses recent advancements in LFIA for detecting SARS-CoV-2 and explores future possibilities with smartphones and Artificial Intelligence for better disease detection and monitoring.*
Article Abstract
The development of reliable and robust diagnostic tests is one of the most efficient methods to limit the spread of coronavirus disease 2019 (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). However, most laboratory diagnostics for COVID-19, such as enzyme-linked immunosorbent assay (ELISA) and reverse transcriptase-polymerase chain reaction (RT-PCR), are expensive, time-consuming, and require highly trained professional operators. On the other hand, the lateral flow immunoassay (LFIA) is a simpler, cheaper device that can be operated by unskilled personnel easily. Unfortunately, the current technique has some limitations, mainly inaccuracy in detection. This review article aims to highlight recent advances in novel lateral flow technologies for detecting SARS-CoV-2 as well as innovative approaches to achieve highly sensitive and specific point-of-care testing. Lastly, we discuss future perspectives on how smartphones and Artificial Intelligence (AI) can be integrated to revolutionize disease detection as well as disease control and surveillance.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466143 | PMC |
| http://dx.doi.org/10.3390/bios11090295 | DOI Listing |
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