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Reuse of drug means using the existing drugs that has already been approved by medical councils and are being used by doctors for treatment of some other disease. The development of new drug takes much effort and time and requires a lot of human trials to get it approved by authorities. So as in the case of COVID-19, the disease is spreading so fast and it seems quite impossible to control the disease with the development of the new drug because it might develop very late [11]. So at this stage, when no permanent possible solution of treating the disease is there, doctors are looking for reuse of the existing medicines like Hydroxychloroquine and Remdesivir etc. But the main problem in the reusage of the existing drug is that how to identify which drug can be reused in which symptoms and situations. So a variety of techniques have been developed by the researchers in order to find out this solution and AI with ML is one of them [12]. Figure 1.4 below defines Machine Learning process that can be used for reusage of drug from existing chemical.

The process starts with taking database of probable drugs that can be used in treating COVID-19 [13]. This can be taken by considering the database of all the drugs that has been used for treatment of diseases having symptoms similar to the symptoms of COVID-19. Next in the queue is to use database of all possible chemicals that can be helpful in the development of the new drug, and lastly is to take database of all the available drugs that are available in the market for usage [14]. A machine learning based Convolutional Neural Network Model can be applied upon all these kinds of databases by taking the dataset of the patients suffering from COVID-19 as input and the possible drug will be suggested by the system as the output [2].

Figure 1.4 Machine learning approach for reuse of drug in COVID-19.