Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Roya Arian"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Artificial intelligence (AI) algorithms, encompassing machine learning and deep learning, can assist ophthalmologists in early detection of various ocular abnormalities through the analysis of retinal optical coherence tomography (OCT) image
Externí odkaz:
https://doaj.org/article/5da323658f324283a0ce2cb1d8fdcc75
Publikováno v:
مجله انفورماتیک سلامت و زیست پزشکی, Vol 7, Iss 1, Pp 30-39 (2020)
Introduction: Protein kinase causes many diseases, including cancer; therefore, inhibiting them plays an important role in the treatment of many diseases. Traditional discovery inhibitors of this enzyme is a time-consuming and costly process. Finding
Externí odkaz:
https://doaj.org/article/8e2ac94a4985462cae7e88866a532536
Autor:
Roya Arian, Tahereh Mahmoudi, Hamid Riazi-Esfahani, Hooshang Faghihi, Ahmad Mirshahi, Fariba Ghassemi, Alireza Khodabande, Raheleh Kafieh, Elias Khalili Pour
Publikováno v:
Photonics, Vol 10, Iss 3, p 234 (2023)
The choroidal vascularity index (CVI) is a new biomarker defined for retinal optical coherence tomography (OCT) images for measuring and evaluating the choroidal vascular structure. The CVI is the ratio of the choroidal luminal area (LA) to the total
Externí odkaz:
https://doaj.org/article/3d25f5de840946a0840c7e647496ca1d
Autor:
Roya Arian, Tahereh Mahmoudi, Hamid Riazi-Esfahani, Rahele Kafieh, Hooshang Faghihi, Ahmad Mirshahi, Fariba Ghassemi, Alireza Khodabande, Elias Khalili Pour
Choroidal vascularity index (CVI) is a new biomarker defined for retinal optical coherence tomography (OCT) images for measuring and evaluating the choroidal vascular structure. CVI is the ratio of the choroidal luminal area (LA) to the total choroid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92f284e77b10963d181600c53c67ab8b
https://doi.org/10.21203/rs.3.rs-1150024/v1
https://doi.org/10.21203/rs.3.rs-1150024/v1
Autor:
Narges Saeedizadeh, Sunil Kumar Yadav, Rahele Kafieh, Atefeh Vaezi, Roya Arian, Nima Rezaei, Zahra Amini, Shervin Minaee, Shaghayegh Haghjooy Javanmard, Nasim Dadashi Serej
Publikováno v:
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine, Vol 2021 (2021)
Computational and Mathematical Methods in Medicine, Vol 2021 (2021)
COVID-19 has led to a pandemic, affecting almost all countries in a few months. In this work, we applied selected deep learning models including multilayer perceptron, random forest, and different versions of long short-term memory (LSTM), using thre
Autor:
Zahra Amini, Shervin Minaee, Narges Saeedizadeh, Atefeh Vaezi, Rahele Kafieh, Shaghayegh Haghjooy Javanmard, Roya Arian, Nima Rezaei, Sunil Kumar Yadav
The novel corona-virus (COVID-19) has led to a pandemic, affecting almost all countries and regions in a few weeks, and therefore a global plan is needed to overcome this battle. Iran has been among the first few countries that has been affected seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e341c3100c2f7c4d75498875403987
Publikováno v:
Computational biology and chemistry. 86
Protein kinases are enzymes acting as a source of phosphate through ATP to regulate protein biological activities by phosphorylating groups of specific amino acids. For that reason, inhibiting protein kinases with an active small molecule plays a sig
Autor:
Nasim Dadashi Serej, Zahra Amini, Narges Saeedizadeh, Roya Arian, Rahele Kafieh, Atefeh Vaezi, Shaghayegh Haghjooy Javanmard
Publikováno v:
Chaos, Solitons & Fractals
Chaos, Solitons, and Fractals
Chaos, Solitons, and Fractals
The coronavirus COVID-19 is affecting 213 countries and territories around the world. Iran was one of the first affected countries by this virus. Isfahan, as the third most populated province of Iran, experienced a noticeable epidemic. The prediction
Autor:
Alireza Mehridehnavi, Tahereh Mostashari-Rad, Fahimeh Ghasemi, Marzieh Mokhtari, Roya Arian, Afshin Fassihi, Houri Sadri
Publikováno v:
Journal of Theoretical and Computational Chemistry. 18:1950018
CXCR4 is involved in inflammation, cancer metastasis and also HIV-1 entry into immune host cells. In the present research, it was decided to investigate the efficacy of some CXCR4 inhibitors from both pharmacokinetics and pharmacodynamics points of v