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| On the cover: The rising in the popularity of big data, artificial intelligence, and simulation technologies has opened up new opportunities for the development of our society. The close integration of real and artificial societies has become a trend, bringing in novel concepts such as parallel society and metaverse. The artificial society system describes, predicts, and guides the real society system, in a closed-loop, iterative, and spiral-rising way, forming a new mode of social operation driven by Data-AI-Simulation techniques. In the future, with the further development of interdisciplinary cooperation and the continuous advancement of technologies, living in metaverse is within reach. |
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| Position: Home > issue > September 13, 2022 Volume 3, Issue 5 |
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| To manage long COVID by selective SARS-CoV-2 infection biosensing |
Category: Editorial Download:  PDF  Figure  Endnote |
| Author: Ajeet Kaushik, Ebrahim Mostafavi |
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Schematic presentation of the status of the COVID-19 pandemic and recommendations on the development of sensitive smart SARS-CoV-2 sensing platforms using a combinatory approach on biosensors supported with internet-of-medical-things (IoMT) and artificial intelligence (AI).
SARS-CoV-2 mutations based on COVID-19 infection is studied mainly considering acute effects including 108 multiple organ damage, mainly lungs, liver, kidney, digestive tracts, heart, and new concern of the brain. 109 Recently, it has also been suggested to understand the long-term COVID via the understanding of chronic 110 effects of SARS-CoV-2 infection for a long timee, mainly more than 4 weeks. This is important in the case 111 of mutated SARS-CoV-2, which can invade the vaccine and may cause re-occurrence of COVID-19 even 112 after full vaccination and booster(s).
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