Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Abdulrahman M. Alsulaiman"'
Autor:
Ali A. Rabaan, Maha Fahad Alenazy, Ahmad A. Alshehri, Mohammed Abdulrahman Alshahrani, Maha F. Al-Subaie, Hayam A. Alrasheed, Nawal A. Al Kaabi, Nanamika Thakur, Nabiha A. Bouafia, Mohammed Alissa, Abdulrahman M. Alsulaiman, Abeer M. AlBaadani, Hatem M. Alhani, Ali H. Alhaddad, Wadha A. Alfouzan, Batool Mohammed Abu Ali, Khadija H. Al-Abdulali, Faryal Khamis, Ali Bayahya, Mona A. Al Fares, Manish Sharma, Manish Dhawan
Publikováno v:
Journal of Infection and Public Health, Vol 16, Iss 11, Pp 1870-1883 (2023)
SARS-CoV-2, responsible for COVID-19, shares 79% and 50% of its identity with SARS-CoV-1 and MERS-CoV, respectively. It uses the same main cell attachment and entry receptor as SARS-CoV-1, which is the ACE-2 receptor. However, key residues in the rec
Externí odkaz:
https://doaj.org/article/602892418f904e8aa8644f313b00c53d
Autor:
Ali A. Rabaan, Muhammed A. Bakhrebah, Jawaher Alotaibi, Zuhair S. Natto, Rahaf S. Alkhaibari, Eman Alawad, Huda M. Alshammari, Sara Alwarthan, Mashael Alhajri, Mohammed S. Almogbel, Maha H. Aljohani, Fadwa S. Alofi, Nada Alharbi, Wasl Al-Adsani, Abdulrahman M. Alsulaiman, Jehad Aldali, Fatimah Al Ibrahim, Reem S. Almaghrabi, Awad Al-Omari, Mohammed Garout
Publikováno v:
Journal of Infection and Public Health, Vol 16, Iss 11, Pp 1837-1847 (2023)
Infectious diseases present a global challenge, requiring accurate diagnosis, effective treatments, and preventive measures. Artificial intelligence (AI) has emerged as a promising tool for analysing complex molecular data and improving the diagnosis
Externí odkaz:
https://doaj.org/article/e504ebe636c946d3a7e9c49d223a45b7