Digital Technology und Artificial Intelligence Facing COVID-19

被引:0
|
作者
Rhalem, Wajih [1 ]
Raji, Mourad [1 ]
Aqili, Nabil [1 ]
El Mhamdi, Jamal [1 ]
Allali, Imane [2 ]
Kharmoum, Nassim [3 ]
Retal, Sara [4 ]
Hammouch, Ahmed [5 ]
Laghrissi, Adnane [6 ]
Ghazal, Hassan [3 ]
机构
[1] Mohammed V Univ Rabat, ENSAM, E2SN Res Team, Rabat, Morocco
[2] Mohammed V Univ Rabat, Fac Sci, Lab Biol Human Pathol, Rabat, Morocco
[3] Natl Ctr Sci & Tech Res CNRST, Rabat, Morocco
[4] Mohammed V Univ Rabat, Fac Sci, Dept Comp Sci, Rabat, Morocco
[5] Minist Higher Educ Rabat, Direct Sci Res & Innovat, Rabat, Morocco
[6] Inst Pasteur Maroc, IT Dept, Casablanca, Morocco
关键词
COVID-19; SARS-CoV-2; SARS-CoV; Discrete to continuous; Digital technology; Artificial intelligence; Shape recognition; CLASSIFICATION; SERVER; ACID;
D O I
10.1007/978-3-030-90639-9_102
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Digital Technology (DT) and Artificial Intelligence (AI) are of decisive importance for the understanding of the virus and the development of prevention and control measures. They can intervene in various fields, in particular, in the deployment of mathematical modeling to analyze the transmission of the virus, structural biology to identify the structure of the virus and develop vaccines, computational biology to study the evolution of the virus, as well as docking studies to screen for drugs. In this article, we will expose the role of new digital technologies to deal with the COVID-19 virus, by exposing certain applications as well as our scientific contribution which consists in applying an approach to analyze and study the three-dimensional structures of molecules, in particular, that of SARS-CoV-2 which generates Covid-19. Our method is a shape recognition algorithm based on the principle of the passage from the discrete to the continuous of entities. The results obtained demonstrated the performance of our algorithm in terms of response time and accuracy.
引用
收藏
页码:1229 / 1240
页数:12
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