Combinatory therapeutic approaches for common cold and SARS-CoV-2

Anbalagan, Sankarappan; Arunprasanna, Vimalanathan; Dinakaran, S Vatchala; Krishnan, Muthukalingan

doi:10.1016/j.synres.2020.100069

Cited by 2 publications

(1 citation statement)

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“…Hence, it is worth thinking about what brought on the pandemic. Humans have experienced much from the previous outbreaks that occurred in the past century, such as the bubonic plague in the 14th century, which killed nearly 50 million and lasted up to 5 years [ 4 ]; the Spanish flu outbreak in World War I, which killed 50–100 million [ 5 ]; and so on. However, the recent pandemics of SARS, MERS, and COVID-19 in 2003, 2012, and 2019 were caused by viruses belonging to the coronavirus family, and have more similarities in their modes of infection.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic

et al. 2023

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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which caused coronavirus diseases (COVID-19) in late 2019 in China created a devastating economical loss and loss of human lives. To date, 11 variants have been identified with minimum to maximum severity of infection and surges in cases. Bacterial co-infection/secondary infection is identified during viral respiratory infection, which is a vital reason for morbidity and mortality. The occurrence of secondary infections is an additional burden to the healthcare system; therefore, the quick diagnosis of both COVID-19 and secondary infections will reduce work pressure on healthcare workers. Therefore, well-established support from Artificial Intelligence (AI) could reduce the stress in healthcare and even help in creating novel products to defend against the coronavirus. AI is one of the rapidly growing fields with numerous applications for the healthcare sector. The present review aims to access the recent literature on the role of AI and how its subfamily machine learning (ML) and deep learning (DL) are used to curb the pandemic’s effects. We discuss the role of AI in COVID-19 infections, the detection of secondary infections, technology-assisted protection from COVID-19, global laws and regulations on AI, and the impact of the pandemic on public life.

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Section: Introductionmentioning

confidence: 99%