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 In this scenario, remote diagnostic systems could be a handy solution. Some existing studies leverage the deep learning approach to provide an effective alternative to clinical diagnostic techniques. However, it is difficult to use such complex networks in resource constraint environments. To address this problem, a fine-tuned deep learning model inspired by the architecture of the MobileNetV2 model has been developed. The developed model is further optimised in terms of its size and complexity to make it compatible with mobile and edge devices. The results of extensive experimentation performed on a real-world dataset consisting of 2482 chest computerised tomography scan images strongly suggest the superiority of the developed fine-tuned deep learning model in terms of high accuracy and faster diagnosis time. The proposed model has achieved a classification accuracy of 96.40 per cent, with approximately 10 times shorter response time than the prevailing deep learning models. Further, McNemar’s statistical test results also prove the efficacy of the proposed model.
Contact info:
mahesh@iitp.ac.in
Website link:
https://www.iitp.ac.in/images/pdf/COVID-19-Research-Highlight-Dr-Mahesh- Kolekar-07-07-2021.pdf
An update on antiviral therapy against SARS-CoV-2: An IIT Indore
study
Currently, various drugs are under investigation to treat an enormously increasing number of COVID-19 patients. This dreadful situation clearly demands an efficient strategy to quickly identify drugs for the successful treatment of COVID-19. Hence, drug repurposing is an effective approach for the rapid discovery of frontline arsenals to fight against COVID-19. Successful application of this approach has resulted in the repurposing of some clinically approved drugs as potential anti-SARS- CoV-2 candidates. Several of them are either, antimalarials, antivirals, antibiotics or corticosteroids. They have been repurposed based on their potential to negate virus or reduce lung inflammation. A large number of clinical trials have been registered to evaluate the effectiveness and clinical safety of these drugs, of which a few clinical studies are complete, the results of which are primary. World Health Organization (WHO) also conducted an international, multi-country, open-label,
Proposed mechanisms of repurposed drugs and therapies used against SARS-CoV-2 infection
    VOL. IV     ISSUE 7
VIGYAN PRASAR 10
COVID-19 SCIENCE & TECHNOLOGY EFFORTS IN INDIA























































































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