Introduction
A cohort of researchers from world-renowned academic institutions such as the University of Oxford, University of Warwick, University of Montpellier and credible research labs, have invented a methodology of detecting Covid-19 (SARS-CoV-2) and other respiratory pathogens within mere minutes.
This feat is made possible through the utilisation of image analysis and machine learning techniques, more specifically convolutional neural networks to classify microscopic viruses of respiratory diseases based on structural features unique to the viruses.
This article presents the key information and takeaways from the published research paper related to the work carried out by the researchers from the institutions mentioned above.
Through reading this article, you will understand the intuitions and techniques behind the methods used to create the Covid-19 5 five minute detection system and other significant background information.
It is entirely, understandable that some terms and phrases within this article might be unfamiliar to some readers, so, at some points in this article, some sections provide definitions to words and key terms used.
SARS-CoV-2: The strain of human coronavirus that causes Covid-19 disease.
Pathogens: A disease-causing organism or an infectious agent. Common types of pathogens are viruses, bacterias, fungi, prion, and parasites.
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