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.
【저자키워드】 COVID-19, SARS-CoV-2, artificial intelligence, lateral flow assay, point-of-care testing, 【초록키워드】 coronavirus disease, Coronavirus disease 2019, artificial intelligence, diagnostic test, severe acute respiratory syndrome Coronavirus, RT-PCR, diagnostics, ELISA, Laboratory, Spread, lateral flow, Severe acute respiratory syndrome, point-of-care, lateral flow immunoassay, enzyme-linked immunosorbent assay, Surveillance, artificial, diagnostic tests, disease control, LFIA, disease detection, respiratory, disease, Coronavirus-2, reverse transcriptase-polymerase chain reaction, reverse transcriptase, Chain Reaction, acute respiratory syndrome, acute respiratory syndrome coronavirus, enzyme, Perspective, acute respiratory syndrome coronavirus-2, operators, inaccuracy, limitations, approach, intelligence, limit, enzyme-linked immunosorbent, highlight, robust, caused, time-consuming, 【제목키워드】 technology, detection, novel, Flow, advance, recent, Lateral,