Fakher Rahim
@alnoor university
Department of Medical Laboratory Technologies,
Fakher Rahim
RESEARCH, TEACHING, or OTHER INTERESTS
Biotechnology, Molecular Medicine, Genetics, Structural Biology
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Momunova Abdykerimovna, Fakher Rahim, Lyailya Alekesheva, Toguzbaeva Karlygash, Sokolov Dmitriy Konstantinovich, Kenesh Dzhusupov, and Abzal Zhumagaliuly
Egyptian Knowledge Bank
M ICROORGANISMS in the gut microbiota have developed alongside the host for thousands of years. Spray-dried porcine plasma (SDPP) increases development and immunity, making it a promising antibiotic replacement. In this systematic review and meta-analysis, we examined all available data on spray-dried porcine plasma’s immune response and microbiota composition alterations, which may affect antibacterial effectiveness. To achieve this goal, Cochrane central, ISI web of science (WOS), PubMed/Medline, Scopus, and EMBASE were systematically searched using standard terms. No language, study region, or research kind restrictions applied. Following the exclusion criteria, this meta-analysis included 11 papers on 474 animals’ important traits. Eleven studies involved 474 animals in this meta-analysis. The study involved eight pigs, three mice, one dog , bird, and fish. Firmicutes, Bacteroidetes , and other bacteria were more prevalent in SDPP-fed pig samples than in control diet samples. Proteobacteria, Tenericutes , and Actinobacteria were less common in SDPP-fed pig samples. SDPP did not affect growth performance measures compared to the control group. SDPP-exposed animals had higher Shannon and Simpson indices and more species, regardless of BW. In addition, treatment groups had similar colonic microbiota richness estimators (Chao 1). This study represents the first comprehensive meta-analysis to investigate the impact of SDPP s on immune response and microbiota composition alterations, which may affect antibacterial effectiveness in the peer-reviewed literature. The study’s findings demonstrated that the utilization of SDPP imposes little residual effects on the overall growth performance and increases the diversity and richness of bacterial communities, ultimately leading to alterations in the microbiota composition of the animals.
Dana Bryazka, Marissa B Reitsma, Yohannes Habtegiorgis Abate, Abdallah H A Abd Al Magied, Atef Abdelkader, Arash Abdollahi, Meriem Abdoun, Rizwan Suliankatchi Abdulkader, Roberto Ariel Abeldaño Zuñiga, E S Abhilash,et al.
Elsevier BV
Abdolkazem Neisi, Gholamreza Goudarzi, Mohammad Javad Mohammadi, Yasser Tahmasebi, Fakher Rahim, Zeinab Baboli, Mohsen Yazdani, Armin Sorooshian, Somayeh Alizade Attar, Kambiz Ahmadi Angali,et al.
Springer Science and Business Media LLC
Valery L Feigin, Melsew Dagne Abate, Yohannes Habtegiorgis Abate, Samar Abd ElHafeez, Foad Abd-Allah, Ahmed Abdelalim, Atef Abdelkader, Michael Abdelmasseh, Sherief Abd-Elsalam, Parsa Abdi,et al.
Elsevier BV
Mohsen Naghavi, Stein Emil Vollset, Kevin S Ikuta, Lucien R Swetschinski, Authia P Gray, Eve E Wool, Gisela Robles Aguilar, Tomislav Mestrovic, Georgia Smith, Chieh Han,et al.
Elsevier BV
Rose Grace Bender, Sarah Brooke Sirota, Lucien R Swetschinski, Regina-Mae Villanueva Dominguez, Amanda Novotney, Eve E Wool, Kevin S Ikuta, Avina Vongpradith, Emma Lynn Best Rogowski, Matthew Doxey,et al.
Elsevier BV
Yingzhao Jin, Cui Guo, Mohammadreza Abbasian, Mitra Abbasifard, J. Haxby Abbott, Auwal Abdullahi, Aidin Abedi, Hassan Abidi, Hassan Abolhassani, Eman Abu-Gharbieh,et al.
Elsevier BV
Konrad Pesudovs, Van Charles Lansingh, John H. Kempen, Ian Tapply, Arthur G. Fernandes, Maria V. Cicinelli, Alessandro Arrigo, Nicolas Leveziel, Paul Svitil Briant, Theo Vos,et al.
Springer Science and Business Media LLC
Abstract Background To estimate global and regional trends from 2000 to 2020 of the number of persons visually impaired by cataract and their proportion of the total number of vision-impaired individuals. Methods A systematic review and meta-analysis of published population studies and gray literature from 2000 to 2020 was carried out to estimate global and regional trends. We developed prevalence estimates based on modeled distance visual impairment and blindness due to cataract, producing location-, year-, age-, and sex-specific estimates of moderate to severe vision impairment (MSVI presenting visual acuity <6/18, ≥3/60) and blindness (presenting visual acuity <3/60). Estimates are age-standardized using the GBD standard population. Results In 2020, among overall (all ages) 43.3 million blind and 295 million with MSVI, 17.0 million (39.6%) people were blind and 83.5 million (28.3%) had MSVI due to cataract blind 60% female, MSVI 59% female. From 1990 to 2020, the count of persons blind (MSVI) due to cataract increased by 29.7%(93.1%) whereas the age-standardized global prevalence of cataract-related blindness improved by −27.5% and MSVI increased by 7.2%. The contribution of cataract to the age-standardized prevalence of blindness exceeded the global figure only in South Asia (62.9%) and Southeast Asia and Oceania (47.9%). Conclusions The number of people blind and with MSVI due to cataract has risen over the past 30 years, despite a decrease in the age-standardized prevalence of cataract. This indicates that cataract treatment programs have been beneficial, but population growth and aging have outpaced their impact. Growing numbers of cataract blind indicate that more, better-directed, resources are needed to increase global capacity for cataract surgery.
, João M. Furtado, Jost B. Jonas, Ian Tapply, Arthur G. Fernandes, Maria Vittoria Cicinelli, Alessandro Arrigo, Nicolas Leveziel, Serge Resnikoff, Hugh R. Taylor,et al.
Springer Science and Business Media LLC
Abstract Background We aimed to update estimates of global vision loss due to age-related macular degeneration (AMD). Methods We did a systematic review and meta-analysis of population-based surveys of eye diseases from January, 1980, to October, 2018. We fitted hierarchical models to estimate the prevalence of moderate and severe vision impairment (MSVI; presenting visual acuity from <6/18 to 3/60) and blindness ( < 3/60) caused by AMD, stratified by age, region, and year. Results In 2020, 1.85 million (95%UI: 1.35 to 2.43 million) people were estimated to be blind due to AMD, and another 6.23 million (95%UI: 5.04 to 7.58) with MSVI globally. High-income countries had the highest number of individuals with AMD-related blindness (0.60 million people; 0.46 to 0.77). The crude prevalence of AMD-related blindness in 2020 (among those aged ≥ 50 years) was 0.10% (0.07 to 0.12) globally, and the region with the highest prevalence of AMD-related blindness was North Africa/Middle East (0.22%; 0.16 to 0.30). Age-standardized prevalence (using the GBD 2019 data) of AMD-related MSVI in people aged ≥ 50 years in 2020 was 0.34% (0.27 to 0.41) globally, and the region with the highest prevalence of AMD-related MSVI was also North Africa/Middle East (0.55%; 0.44 to 0.68). From 2000 to 2020, the estimated crude prevalence of AMD-related blindness decreased globally by 19.29%, while the prevalence of MSVI increased by 10.08%. Conclusions The estimated increase in the number of individuals with AMD-related blindness and MSVI globally urges the creation of novel treatment modalities and the expansion of rehabilitation services.
, Konrad Pesudovs, Van Charles Lansingh, John H. Kempen, Ian Tapply, Arthur G. Fernandes, Maria Vittoria Cicinelli, Alessandro Arrigo, Nicolas Leveziel, Serge Resnikoff,et al.
Springer Science and Business Media LLC
, Rupert R. A. Bourne, Jost B. Jonas, David Friedman, Vinay Nangia, Alain Bron, Ian Tapply, Arthur G. Fernandes, Maria Vittoria Cicinelli, Alessandro Arrigo,et al.
Springer Science and Business Media LLC
Abstract Objectives To estimate global and regional trends from 2000 to 2020 of the number of persons visually impaired by glaucoma and their proportion of the total number of vision-impaired individuals. Methods A systematic review and meta-analysis of published population studies and grey literature from 2000 to 2020 was carried out to estimate global and regional trends in number of people with vision loss due to glaucoma. Moderate or severe vision loss (MSVI) was defined as visual acuity of 6/60 or better but <6/18 (moderate) and visual acuity of 3/60 or better but <6/60 (severe vision loss). Blindness was defined as presenting visual acuity <3/60. Results Globally, in 2020, 3.61 million people were blind and nearly 4.14 million were visually impaired by glaucoma. Glaucoma accounted for 8.39% (95% uncertainty intervals [UIs]: 6.54, 10.29) of all blindness and 1.41% (95% UI: 1.10, 1.75) of all MSVI. Regionally, the highest proportion of blindness relating to glaucoma was found in high-income countries (26.12% [95% UI: 20.72, 32.09]), while the region with the highest age-standardized prevalence of glaucoma-related blindness and MSVI was Sub-Saharan Africa. Between 2000 and 2020, global age-standardized prevalence of glaucoma-related blindness among adults ≥50 years decreased by 26.06% among males (95% UI: 25.87, 26.24), and by 21.75% among females (95% UI: 21.54, 21.96), while MSVI due to glaucoma increased by 3.7% among males (95% UI: 3.42, 3.98), and by 7.3% in females (95% UI: 7.01, 7.59). Conclusions Within the last two decades, glaucoma has remained a major cause of blindness globally and regionally.
Jorge R Ledesma, Jianing Ma, Meixin Zhang, Ann V L Basting, Huong Thi Chu, Avina Vongpradith, Amanda Novotney, Kate E LeGrand, Yvonne Yiru Xu, Xiaochen Dai,et al.
Elsevier BV
Fakher Rahim, Karlygash Toguzbaeva, and Kenesh O. Dzhusupov
Galenos Yayinevi
Objective
This research aims to update knowledge on the regional and national sickness burden attributable to cystic echinococcosis (CE) from 1990 to 2019, as well as epidemiology and disease control, with a particular emphasis on the People's Central Asian Regions.
Methods
We calculated the morbidity, mortality, and disability-adjusted life years at the global, regional, and national levels for CE in all central Asian countries from 1990 to 2019, and we analyzed the association between GDP per capita and the disease burden of CE.
Results
In 2019, the three greatest numbers of CE cases were recorded in Kazakhstan [23986; 95% uncertainty interval (UI); 19796; 28908]; Uzbekistan (41079; 18351; 76048); and Tajikistan (10887; 4891; 20170) among all 9 countries. The three countries with the greatest ASIR of CE were estimated to be Kazakhstan (127.56; 95% UI: 105.34-153.8), Uzbekistan (123.53; 95% UI: 58.65-219.16), and Tajikistan (121.88; 58.57-213.93). Kyrgyzstan, Tajikistan, and Uzbekistan had the biggest increases (125%, 97%, and 83%, respectively) in the number of incident cases of CE, whereas Georgia, Kazakhstan, and Armenia saw the largest decreases (45%, 8%, and 3%, respectively).
Conclusion
To reduce the illness burden caused by CE, our findings may help public health professionals and policymakers design cost-benefit initiatives. To lessen the impact of CE on society, it is suggested that more money be given to the region's most endemic nations. Echinococcosis, cystic, negative health effects, life-years lost due to disability, rate of occurrence as a function of age, rate of death as a function of age.
Michael Brauer, Gregory A Roth, Aleksandr Y Aravkin, Peng Zheng, Kalkidan Hassen Abate, Yohannes Habtegiorgis Abate, Cristiana Abbafati, Rouzbeh Abbasgholizadeh, Madineh Akram Abbasi, Mohammadreza Abbasian,et al.
Elsevier BV
Stein Emil Vollset, Hazim S Ababneh, Yohannes Habtegiorgis Abate, Cristiana Abbafati, Rouzbeh Abbasgholizadeh, Mohammadreza Abbasian, Hedayat Abbastabar, Abdallah H A Abd Al Magied, Samar Abd ElHafeez, Atef Abdelkader,et al.
Elsevier BV
Mohsen Naghavi, Kanyin Liane Ong, Amirali Aali, Hazim S Ababneh, Yohannes Habtegiorgis Abate, Cristiana Abbafati, Rouzbeh Abbasgholizadeh, Mohammadreza Abbasian, Mohsen Abbasi-Kangevari, Hedayat Abbastabar,et al.
Elsevier BV
Austin E Schumacher, Hmwe Hmwe Kyu, Amirali Aali, Cristiana Abbafati, Jaffar Abbas, Rouzbeh Abbasgholizadeh, Madineh Akram Abbasi, Mohammadreza Abbasian, Samar Abd ElHafeez, Michael Abdelmasseh,et al.
Elsevier BV
N. V. Bhattacharjee, Austin E. Schumacher, Amirali Aali, Yohannes Habtegiorgis Abate, Rouzbeh Abbasgholizadeh, Mohammadreza Abbasian, M. Abbasi-Kangevari, Hedayat Abbastabar, S. ElHafeez, S. Abd-Elsalam,et al.
Jaimie D Steinmetz, Katrin Maria Seeher, Nicoline Schiess, Emma Nichols, Bochen Cao, Chiara Servili, Vanessa Cavallera, Ewerton Cousin, Hailey Hagins, Madeline E Moberg,et al.
Elsevier BV
Amir Monfaredan, Fakher Rahim, Gholamreza Tavoosidana, Mohammad Hossein Modarressi, Alaviyehsadat Hosseininasab, Ali-Akbar Aghajani-Afrouzi, Mahdi Shafiee Sabet, and Elahe Motevaseli
LLC Science and Innovations
Background and Aims — Exosomes, which are tiny double-layered membranes originating from eukaryotic cells, have been recognized as a valuable natural vehicle for delivering substances because of their optimal size, compatibility with living organisms, strong structure, ability to carry a large amount of cargo, and capacity to be modified on their surface. Methods — Various strategies have been employed to isolate exosomes due to the challenges associated with maintaining their high purity. The current investigation utilized a soft lithography technique to fabricate channels for exosome separation, incorporating immunoaffinity capabilities. Both biochemical and biophysical assays were conducted to assess the quality of isolated exosomes from various sources (serum, cell supernatant, and urine) and compared with a commercially available kit. Results — The current investigation employed a microfluidic method to capture CD63-conjugated magnetic beads, resulting in a very effective separation of exosomes. Based on the data, there were no notable variations in miRNAs that were statistically significant. This demonstrates that the engineered chip successfully achieved the separation of the exosome while preserving the integrity of its nucleic acid components. Conclusion — The results shown that the current methodology effectively isolated exosomes with a high yield rate, purity, and minimal time requirement. The imatinib laden exosomes demonstrated anticancer efficacy against the KYO-1 cell line in all of their forms.
Nameer Hashim Qasim, Abzal Zhumagaliuly, Rabiga Khozhamkul, and Fakher Rahim
Elsevier BV
Fakher Rahim
Walter de Gruyter GmbH
Nameer Hashim Qasim, Doaa Ali Jumaa, Fakher Rahim, Aqeel Mahmood Jawad, Ali Mohammed Khaleefah, Genadiy Zhyrov, and Haider Ali
Learning Gate
The IP Multimedia Subsystem (IMS) is essential to providing multimedia services over IP networks. However, maintaining its scalability in the face of increasing demand and changing next-generation networks is still a significant concern. In light of growing loads and service diversity, scalable solutions are required, as this article explores the shortcomings of the IMS designs in use today. To present an innovative, scalable architecture for IMS that integrates cutting-edge computer science techniques, enabling effective service delivery in next-generation networks. By bridging the gap between the static nature of previous IMS designs and the dynamic demands of contemporary telecommunications, this article hopes to deliver results. A mixed-method approach was utilized, integrating evaluations of architectural flexibility with network loads and service needs analysis. In order to evaluate the suggested designs' performance to current benchmarks, the study used simulations to predict the architectures' performance under various scenarios. Compared to conventional IMS frameworks, the suggested design showed outstanding scalability, enabling a tenfold increase in simultaneous connections and services. It notably improved fault tolerance and service delay and increased flexibility for network modifications and service diversification. Next-generation network demands are met by IMS designs that use modern computer science methodologies to improve scalability and flexibility significantly. More practical, scalable, and reliable service delivery methods will be possible thanks to the foundation our work creates for future research into dynamic, resilient telecommunications infrastructures.
Fakher Rahim, Nada Abdulkareem Hameed, Saja Abdulfattah Salih, Aqeel Mahmood Jawad, Hayder Mahmood Salman, and Dmytro Chornomordenko
Learning Gate
Natural Language Processing (NLP) is causing a significant change in the healthcare industry. This state-of-the-art technology is transforming the processing, analysis, and utilisation of healthcare data by improving patient care and clinical decision-making. This article aims to analyse the current and prospective uses of natural language processing (NLP) in the healthcare industry. We examine the tangible advancements that have been made and shed light on the bright prospects that lie ahead. The approach for early sickness diagnosis involves the use of advanced predictive analytics based on natural language processing (NLP). By analysing unstructured patient narratives, models may accurately identify potential health issues with exceptional precision, sometimes exceeding 90% accuracy. This article discusses the benefits of using voice recognition and chatbots, such as improved patient-provider communication and decreased administrative tasks. Systems powered by natural language processing have made significant advancements, as shown by statistical data indicating that they attain an accuracy rate of 80% or more on tasks like clinical text classification. Consequently, medical record review and data extraction have been automated, hence alleviating the burden on healthcare personnel. Hospitals may use sentiment analysis on online reviews to assess patient satisfaction levels and implement targeted improvements, therefore enhancing the overall patient experience. Undoubtedly, natural language processing (NLP) is revolutionizing the healthcare industry by enabling data-driven insights to optimise operations, personalize patient therapy, and enhance overall patient care quality. In order to fully harness the capabilities of natural language processing, we must address existing challenges and promote continuous research in areas such as deep learning and explainability. Only by doing so can we establish a healthcare system that is both more health-oriented and reliant on data.