A Short Review on Key Role of Plants and their Extracts in Boosting up Immune Response to Combat COVID-19.

In the wake of the recent global pandemic of COVID-19, there has been increasing concern among the general public to improve their immune system. The causative agent of COVID-19 is SARS CoV-2, similar to its relative viruses SARS Cov-1 and MERS. Although vaccines have been developed now and are in public use, still the role of a healthy immune system is crucial as new strains of the virus are being discovered and along with emergence of new strains, short and long term side effects of vaccine cannot be excluded. Plants have been used in herbal medicines and many chemicals since ancient times and extracts in them are found to boost the immune system. Therefore, a consciously maintained diet consisting of plant-based immunity boosters is the need of the hour. Plants are known to provide many chemicals, natural therapeutics and vitamins which naturally enhance our immune system. Recently, vaccination research is also being carried out in transgenic plants. In this review, main focus has been put on highlighting some of the key players within the Kingdom Plantae, which, when taken up in regular diet, can significantly boost our immune system capacity and thus helps the human body to combat this deadly virus more efficiently.

AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app.

BACKGROUND: The inability to test at scale has become humanity's Achille's heel in the ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game changer. Building on the prior work on cough-based diagnosis of respiratory diseases, we propose, develop and test an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app. The app, named AI4COVID-19 records and sends three 3-s cough sounds to an AI engine running in the cloud, and returns a result within 2 min. METHODS: Cough is a symptom of over thirty non-COVID-19 related medical conditions. This makes the diagnosis of a COVID-19 infection by cough alone an extremely challenging multidisciplinary problem. We address this problem by investigating the distinctness of pathomorphological alterations in the respiratory system induced by COVID-19 infection when compared to other respiratory infections. To overcome the COVID-19 cough training data shortage we exploit transfer learning. To reduce the misdiagnosis risk stemming from the complex dimensionality of the problem, we leverage a multi-pronged mediator centered risk-averse AI architecture. RESULTS: Results show AI4COVID-19 can distinguish among COVID-19 coughs and several types of non-COVID-19 coughs. The accuracy is promising enough to encourage a large-scale collection of labeled cough data to gauge the generalization capability of AI4COVID-19. AI4COVID-19 is not a clinical grade testing tool. Instead, it offers a screening tool deployable anytime, anywhere, by anyone. It can also be a clinical decision assistance tool used to channel clinical-testing and treatment to those who need it the most, thereby saving more lives.