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A schematic view of the traditional drug development process.

A schematic view of the traditional drug development process.

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Figure 1: COVID-19 mortality rates per 100,000 cases by race and...
Figure 2: Papers and AI techniques used against both virus and disease....
Figure 3: AI techniques against COVID-19 and SARS-CoV-2
Figure 4: A schematic view of the traditional drug development process.
+4 Figure 5: A schematic representation of the relationships between...
AAAS (2021). Artificial Intelligence and COVID-19: Applications and Impact Assessment. (Report prepared by Ilana Harrus and Jessica Wyndham under the auspices of the AAAS Scientific Responsibility, Human Rights and Law Program)
Technical Report
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  • May 2021
This report provides an overview of the multiple ways that artificial intelligence has been either used or suggested as a tool in the context of the COVID-19 pandemic. The report identifies and analyzes two specific classes of applications of AI that have already been implemented and which present potentially stark implications for marginalized and...
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... drugs and vaccines has always been a lengthy process combining several basic science disciplines like biology, chemistry and pharmacology (UCI, 2020). A summary of the process and its usual timescale can be found in Figure 4 below (Brunning, 2016). ...

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Early Detection of Covid Using Spectral Analysis of Cough and Deep Convolutional Neural Network
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Now-a-days, there are numerous techniques and ICT tools for the detection of Covid-19. But, these techniques are working with the help; of culminated or peak of symptoms. However, there is a demanding need for the early detection of Covid with self-reported symptoms or even without any symptoms, which makes it easier for further diagnosis or treatment. This research paper proposes a novel approach for the early detection of Covid with the spectral analysis of Cough sound using discrete wavelet transform (DWT), followed by deep convolution neural network (DCNN) based classification. The proposed method with the cough spectral analysis and Deep Learning based algorithm returns the covid infection probability. The empirical results show that the proposed method of covid detection using cough spectral analysis using DWT and deep learning achieves better accuracy, while compared to the conventional methods.KeywordsCovid-19Cough soundDeep learningDiscrete wavelet transform
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