Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Hamid R. Rabiee"'
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-25 (2024)
Abstract Background Copy number variants (CNVs) have become increasingly instrumental in understanding the etiology of all diseases and phenotypes, including Neurocognitive Disorders (NDs). Among the well-established regions associated with ND are sm
Externí odkaz:
https://doaj.org/article/277eae9c344b49e2b20a0136fae4e8a2
Autor:
Maryam Ramezani, Amirhossein Takian, Ahad Bakhtiari, Hamid R. Rabiee, Sadegh Ghazanfari, Hakimeh Mostafavi
Publikováno v:
BMC Health Services Research, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Policymakers require precise and in-time information to make informed decisions in complex environments such as health systems. Artificial intelligence (AI) is a novel approach that makes collecting and analyzing data in complex s
Externí odkaz:
https://doaj.org/article/85de07ab91084869a52ac19ee925c689
Autor:
Maryam Ramezani, Amirhossein Takian, Ahad Bakhtiari, Hamid R. Rabiee, Ali Akbar Fazaeli, Saharnaz Sazgarnejad
Publikováno v:
Cost Effectiveness and Resource Allocation, Vol 21, Iss 1, Pp 1-13 (2023)
Abstract Introduction Artificial Intelligence (AI) represents a significant advancement in technology, and it is crucial for policymakers to incorporate AI thinking into policies and to fully explore, analyze and utilize massive data and conduct AI-r
Externí odkaz:
https://doaj.org/article/ddf1e962d30045a6806d8c95b1c07fe8
Autor:
Maryam Ramezani, Amirhossein Takian, Ahad Bakhtiari, Hamid R. Rabiee, Sadegh Ghazanfari, Saharnaz Sazgarnejad
Publikováno v:
BioData Mining, Vol 16, Iss 1, Pp 1-18 (2023)
Abstract Background The governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent challenges of health systems reflect the need for innovative approaches that can minimize ad
Externí odkaz:
https://doaj.org/article/55db1adbd8a74a9caab57697a52075ec
Publikováno v:
Health Technology Assessment in Action, Vol 7, Iss 4 (2023)
Abstract Background: In line with the advancement of Artificial Intelligence (AI), innovative solutions have been designed to improve healthrelated Sustainable Development Goals (SDGs). Accordingly, there is an increasing trend in the realm of AI and
Externí odkaz:
https://doaj.org/article/fbd7604d5e3645deb160d5ec47401bed
Autor:
Mahyar Ghafoori, Mehrab Hamidi, Rassa Ghavami Modegh, Alireza Aziz-Ahari, Neda Heydari, Zeynab Tavafizadeh, Omid Pournik, Sasan Emdadi, Saeed Samimi, Amir Mohseni, Mohammadreza Khaleghi, Hamed Dashti, Hamid R. Rabiee
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21965- (2023)
Purpose: The rapid spread of the COVID-19 omicron variant virus has resulted in an overload of hospitals around the globe. As a result, many patients are deprived of hospital facilities, increasing mortality rates. Therefore, mortality rates can be r
Externí odkaz:
https://doaj.org/article/e3134c7b543a4f86b0a2551dd757f763
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-15 (2022)
Abstract Background Several types of RNA in the cell are usually involved in biological processes with multiple functions. Coding RNAs code for proteins while non-coding RNAs regulate gene expression. Some single-strand RNAs can create a circular sha
Externí odkaz:
https://doaj.org/article/94f8a7bd2fc24b56be63214cf5259b00
Autor:
Amin Ghareyazi, Amirreza Kazemi, Kimia Hamidieh, Hamed Dashti, Maedeh Sadat Tahaei, Hamid R. Rabiee, Hamid Alinejad-Rokny, Iman Dehzangi
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-21 (2022)
Abstract Background The advent of high throughput sequencing has enabled researchers to systematically evaluate the genetic variations in cancer, identifying many cancer-associated genes. Although cancers in the same tissue are widely categorized in
Externí odkaz:
https://doaj.org/article/c71f036df464483bafb873ebb63bed3d
Autor:
Narges Rezaie, Masroor Bayati, Mehrab Hamidi, Maedeh Sadat Tahaei, Sadegh Khorasani, Nigel H. Lovell, James Breen, Hamid R. Rabiee, Hamid Alinejad-Rokny
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-13 (2022)
The SomaGene tool is developed to identify non-coding RNAs (ncRNAs) mutated in breast cancer but can be used for other cancers. Candidate ncRNAs are shown to be enriched for regulatory features and to contain specific trait loci polymorphisms.
Externí odkaz:
https://doaj.org/article/97982823a65f415f8a5d8eed4ea50e41
Autor:
Hamed Dashti, Iman Dehzangi, Masroor Bayati, James Breen, Amin Beheshti, Nigel Lovell, Hamid R. Rabiee, Hamid Alinejad-Rokny
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-24 (2022)
Abstract Background Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. Recent studies have observed causative mutations in susceptible genes related to colorectal cancer in 10 to 15% of the patients. This highlig
Externí odkaz:
https://doaj.org/article/75bcbfe884df4e25927e5ad6880d384d