Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Amirhossein Asgary"'
Autor:
Elham Jamshidi, Amirhossein Asgary, Ali Yazdizadeh Kharrazi, Nader Tavakoli, Alireza Zali, Maryam Mehrazi, Masoud Jamshidi, Babak Farrokhi, Ali Maher, Christophe von Garnier, Sahand Jamal Rahi, Nahal Mansouri
Publikováno v:
Heliyon, Vol 9, Iss 1, Pp e12753- (2023)
Background: Misconceptions about adverse side effects are thought to influence public acceptance of the Coronavirus disease 2019 (COVID-19) vaccines negatively. To address such perceived disadvantages of vaccines, a novel machine learning (ML) approa
Externí odkaz:
https://doaj.org/article/d7edb85498c941db82f99640daac6ba3
Autor:
Elham Jamshidi, Amirhossein Asgary, Paria Shafiekhani, Yasaman Khajeamiri, Kawthar Mohamed, Hadi Esmaily, Sahand Jamal Rahi, Nahal Mansouri
Publikováno v:
Human Vaccines & Immunotherapeutics, Vol 18, Iss 5 (2022)
It is unknown how long the immunity following COVID-19 vaccination lasts. The current systematic review provides a perspective on the persistence of various antibodies for available vaccines.Both the BNT162b2 and the mRNA-1273 induce the production o
Externí odkaz:
https://doaj.org/article/c04ac057df5c44b298e657e0e8e842cb
Autor:
Elham Jamshidi, Amirhossein Asgary, Nader Tavakoli, Alireza Zali, Soroush Setareh, Hadi Esmaily, Seyed Hamid Jamaldini, Amir Daaee, Amirhesam Babajani, Mohammad Ali Sendani Kashi, Masoud Jamshidi, Sahand Jamal Rahi, Nahal Mansouri
Publikováno v:
Frontiers in Digital Health, Vol 3 (2022)
Rationale: Given the expanding number of COVID-19 cases and the potential for new waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategies.O
Externí odkaz:
https://doaj.org/article/362e64fff12241ef9d2fc73d1947a27b
Autor:
Elham Jamshidi, Amirhossein Asgary, Nader Tavakoli, Alireza Zali, Farzaneh Dastan, Amir Daaee, Mohammadtaghi Badakhshan, Hadi Esmaily, Seyed Hamid Jamaldini, Saeid Safari, Ehsan Bastanhagh, Ali Maher, Amirhesam Babajani, Maryam Mehrazi, Mohammad Ali Sendani Kashi, Masoud Jamshidi, Mohammad Hassan Sendani, Sahand Jamal Rahi, Nahal Mansouri
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Background: Early prediction of symptoms and mortality risks for COVID-19 patients would improve healthcare outcomes, allow for the appropriate distribution of healthcare resources, reduce healthcare costs, aid in vaccine prioritization and self-isol
Externí odkaz:
https://doaj.org/article/cfa95a5a6ccb4af69e7e907dda4816ef
Autor:
Alireza Zali, Amirhossein Asgary, Amirhesam Babajani, Nader Tavakoli, Sahand Jamal Rahi, Mohammad Ali Sendani Kashi, Nahal Mansouri, Elham Jamshidi, Seyed Hamid Jamaldini, Masoud Jamshidi, Amir Daaee, Hadi Esmaily
RationaleGiven the expanding number of COVID-19 cases and the potential for upcoming waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cfdc77c565f083dd6cf61d4e7c3b3fc
https://doi.org/10.1101/2021.02.04.21251131
https://doi.org/10.1101/2021.02.04.21251131
Autor:
Mohammad Hassan Sendani, Ehsan Bastanhagh, Amirhossein Asgary, Alireza Zali, Amir Daaee, Amirhesam Babajani, Nahal Mansouri, Maryam Mehrazi, Ali Maher, Farzaneh Dastan, Elham Jamshidi, Nader Tavakoli, Seyed Hamid Jamaldini, Mohammadtaghi Badakhshan, Masoud Jamshidi, Saeid Safari, Sahand Jamal Rahi, Hadi Esmaily, Mohammad Ali Sendani Kashi
BackgroundEarly prediction of symptoms and mortality risks for COVID-19 patients would improve healthcare outcomes, allow for the appropriate distribution of healthcare resources, reduce healthcare costs, aid in vaccine prioritization and self-isolat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f13e6570060461e70997033a1424aa3
https://doi.org/10.1101/2021.02.04.21251143
https://doi.org/10.1101/2021.02.04.21251143