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1.
Yearbook of Medical Informatics ; 31(1):354-364, 2022.
Artículo en Inglés | Scopus | ID: covidwho-20235976

RESUMEN

The region of the Middle East and North Africa (MENA) is diverse and retains a superior growth potential. It benefits from a privileged geographical location with big markets, a young and growing educated population, and competitive advantages in several industries. Regardless of their differences, countries face shared concerns, most notably in health. In response to the COVID-19 pandemic, MENA countries enact reforms to create a more robust and inclusive digital health systems to increase growth, development, and integrity. Throughout the coordinated containment and mitigation efforts, most of the countries have integrated digital technologies into the health systems. These procedures include digital government initiatives, the introduction of digital health training courses, live video surgeries and virtual patient monitoring, rural and remote telemedicine programs, and the development of a national electronic health records (EHR) system. Each country took necessary actions to address equity, literacy, and development of resilient health systems. The nine featured countries in this report illustrate the diversity among the MENA region and account for major opportunities and achievements as well as promises and challenges that digital health presents for its populations. © 2022 IMIA and Georg Thieme Verlag KG.

2.
Physical Chemistry Research ; 11(1):9-21, 2023.
Artículo en Inglés | Scopus | ID: covidwho-1879742

RESUMEN

The SARS-CoV-2 is the novel coronavirus that causes the pandemic COVID-19, which has originated in Wuhan, China, in December 2019. Early studies have generally shown that human Angiotensin-Converting Enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS2) are responsible for the viral entry of SARS-CoV-2 into target cells. TMPRSS2 as androgen-regulated is highly expressed in the prostate and other tissues including the lung. We investigated the interaction between the TMPRSS2 protein and selected antiandrogens, namely bicalutamide, enzalutamide, apalutamide, flutamide, nilutamide, and darolutamide using in-silico molecular docking. The results showed that apalutamide (-8.8 Kcal mol-1) and bicalutamide (-8.6 Kcal mol-1) had the highest docking score. The molecular docking process was validated by re-docking the peptide-like-inhibitor-serine protease hepsin and superimposing them onto the reference complex. Last of all, the tested compounds have been evaluated for their pharmacokinetic and drug-likeness properties and concluded that these compounds except nilutamide (mutagenic) can be granted as potential inhibitors of SARS-CoV-2. This in-silico study result encourages its use as means for drug discovery of new COVID-19 treatment. © 2023. Physical Chemistry Research. All Rights Reserved.

3.
3rd International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD) ; 1418:1229-1240, 2020.
Artículo en Alemán | Web of Science | ID: covidwho-1797731

RESUMEN

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.

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