How Artificial Intelligence is beneficial against COVID-19?

Artificial Intelligence

Artificial Intelligence

As we traverse over the pandemic coronavirus AI and Big Data, the next-gen technologies hold much potential in terms of mapping the density and proportion of the spread. Scientists and researchers are doing everything within their reach to prevent the coronavirus and get a cure for all the affected. Many turned towards technology like AI and machine learning to find the answers possible, and the efforts are worth praise. The situation of the outbreak itself of the disease has created a mass delirium, and misinformation has led to terrible consequences.

By 18 March 2020, 2300 GMT, there were 218,156 confirmed coronavirus cases and 8,939 casualties due to the coronavirus pandemic. The alarming mortality rate is 4 % was a severe concern. AI helped in its containment. The harsh reality known with the virus in the United States is despite having the highest technological advances, the government took too long to act upon the pandemic leading to the delay in response. It is determined that the spread of the virus being exponentially contagious and tested under various condition states that the confinement of this virus is uncertain.

Fighting against coronavirus effectively by AI

AI supports the procurement of a vaccination development, combining the infrastructure, human trials, and commercialization. AI helps to find the most accurate vaccination quicker through analyzing vaccines developed before the virus such as hydroxychloroquine, remdesivir, which proved to show results as had similarities in protein composition.

Infection and Spread of the Coronavirus

Various studies for the coronavirus are accessible from the government sources, organizations, namely the CORD-19 developed via the White House through data from the healthcare facilities and intelligence sources similar to the data provided by Johns Hopkins University. The data, as we understand for the AI, is divided into two forms the textual information, which contains science descriptive, data on unfavorable consequences. The second form of data is quantitative data on the spread of the virus, treatment measures, and updated consequently based on developments and findings.

As humans cannot perform understanding through all the thousands of study literature and extort crucial information from the data reservoir in textual format, NLP (Natural Language Processing) a subdivision of AI applied to this vast data set to obtain useful information with regards to the coronavirus. We can use this NLP on the literature data to understand the protein composition, modernize vaccine quickly, and construe treatment alternatives, ascertain the amount of medicinal drug required, and so on. The potentiality of AI is incalculable and more helpful beyond imagination. BERT (Bidirectional Encoder Representations from Transformers) is an algorithm for text progression developed by Google it transcends the constraint of previously used NLP algorithms.

All of these data were then useful in making inferences as Data Robot company, an automated machine learning headquartered in Boston, Massachusetts, described facts on initial data that the virus presumably impacts prosper people first because they can finance to trip more. AI aid us by prediction, as it helps ouster the dissemination of the virus over time, thus allows us to reduce the severity or to assess which hospital care centers will be brimming to be equipped beforehand with the best processing and supplies.

Thus, we are hopeful these measures will help us overcome the coronavirus and will be able to eradicate the infection.

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