Review
Biochemical Research Methods
Jinxian Wang, Ying Zhang, Wenjuan Nie, Yi Luo, Lei Deng
Summary: Vaccines have achieved significant progress in controlling the COVID-19 pandemic, but the emergence of variants poses challenges to human health. Therefore, developing robust therapeutic approaches, such as anti-COVID-19 drug design, is crucial. Different drug design strategies, including structure-based and AI-based approaches, have been used to create and validate potential drugs. This review provides an overview of these strategies and discusses their advantages, disadvantages, and future developments.
BRIEFINGS IN BIOINFORMATICS
(2022)
Review
Biochemistry & Molecular Biology
Shigao Huang, Jie Yang, Simon Fong, Qi Zhao
Summary: Artificial intelligence has been effectively utilized in various aspects of the COVID-19 crisis, accelerating the diagnosis of positive patients and providing guidance for ideal deployment in pandemics. Future applications of AI technology can help address current challenges and guide its optimal deployment in pandemics.
INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES
(2021)
Review
Medicine, Research & Experimental
Marcelle Moura Silveira, Gustavo Marcal Schmidt Garcia Moreira, Marcelo Mendonca
Summary: The urgent need for COVID-19 vaccines has led to a focus on DNA vaccines as a promising alternative due to their ability to elicit strong immune responses and production advantages. This review summarizes the current research and advancements of DNA vaccines against COVID-19, with a particular emphasis on progress in clinical trials.
Article
Multidisciplinary Sciences
Mario A. Quiroz-Juarez, Armando Torres-Gomez, Irma Hoyo-Ulloa, Roberto de J. Leon-Montiel, Alfred B. U'Ren
Summary: This paper introduces a machine-learning algorithm to determine the survival probability of COVID-19 patients and demonstrates its accuracy and reliability in the Mexican COVID-19 patient database. The method can assist hospitals in planning and treating high-risk patients, and can also be applied to hypothesis-testing techniques in biological and medical statistics.
Article
Engineering, Electrical & Electronic
Shibli Nisar, Abdul Wakeel, Wania Tahir, Muhammad Tariq
Summary: The COVID-19 pandemic has caused massive loss of human lives globally. Efforts are being made by scientists, researchers, and doctors to develop and distribute vaccines as quickly as possible. Different tracking systems based on various technologies, such as cellular, cyber, satellite-based radio navigation, and low range wireless technologies, are discussed and compared in this paper to control and stop the spread of the virus. The paper aims to provide a comprehensive survey of these tracking systems and their shortcomings, as well as proposing futuristic approaches utilizing artificial intelligence and big data analysis for tracking patients in future pandemics. The introduction of next-generation tracking systems and the challenges they face are also addressed.
IEEE SENSORS JOURNAL
(2023)
Review
Biochemistry & Molecular Biology
Guido Forni, Alberto Mantovani
Summary: The development of vaccines has made significant progress, but still faces various challenges, including different target populations, immunological adaptability of vaccines, and production and distribution issues. To ensure equitable access, protection of diverse subjects, and immunity against viral variants, multiple vaccines may be needed in the long run.
CELL DEATH AND DIFFERENTIATION
(2021)
Article
Biotechnology & Applied Microbiology
Antonio Salas, Irene Rivero-Calle, Federico Martinon-Torres
Summary: Vaccine hesitancy is considered a top global health threat by the WHO. This study investigates the ability of the AI chatbot ChatGPT to generate opinions on vaccine hesitancy by examining its response to prevalent false information, contraindications, and myths about vaccine safety circulating on the internet. The findings suggest that while ChatGPT's default responses may be incomplete, they are generally satisfactory and have the potential to guide users towards scientifically aligned information, though it cannot replace experts or scientific evidence itself.
HUMAN VACCINES & IMMUNOTHERAPEUTICS
(2023)
Review
Immunology
Yuxin Yan, Yoongxin Pang, Zhuoyi Lyu, Ruiqi Wang, Xinyun Wu, Chong You, Haitao Zhao, Sivakumar Manickam, Edward Lester, Tao Wu, Cheng Heng Pang
Summary: Developing COVID-19 vaccines is crucial for the world to return to pre-pandemic normalcy. Thirteen vaccines have been approved, with over 90 candidates in clinical trials. Despite being in its infancy, current progress in vaccine development is promising.
Review
Microbiology
Shao-Cheng Wang, Chung- Rai, Yuan-Chuan Chen
Summary: Vaccination is the most effective method for preventing COVID-19 caused by SARS-CoV-2, but the rapid evolution of the virus has resulted in the emergence of various variants that lower vaccine effectiveness and can lead to breakthrough infections. Adverse reactions to COVID-19 vaccines are rare but severe, raising safety concerns. However, clinical studies have shown that the benefits of vaccination outweigh the risks.
Review
Health Care Sciences & Services
Jessica A. Huang, Intan R. Hartanti, Michelle N. Colin, Dian A. E. Pitaloka
Summary: This study reviews the current status of AI-based telemedicine during the COVID-19 pandemic and proposes an AI-powered telemedicine framework to monitor the progression of COVID-19 patients in home isolation. However, there are challenges in using digital health technologies.
Review
Computer Science, Information Systems
Luwei Liu, Wenyu Song, Namrata Patil, Michael Sainlaire, Ravi Jasuja, Patricia C. Dykes
Summary: The widespread use of electronic health records (EHR) based computable phenotypes in clinical research has created new opportunities for data-driven medical applications. However, there is a need for standardized input variables and outcome definitions for better clinical applicability of artificial intelligence (AI) methodologies, particularly in developing severity prediction models for COVID-19.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Krithika Rangarajan, Sumanyu Muku, Amit Kumar Garg, Pavan Gabra, Sujay Halkur Shankar, Neeraj Nischal, Kapil Dev Soni, Ashu Seith Bhalla, Anant Mohan, Pawan Tiwari, Sushma Bhatnagar, Raghav Bansal, Atin Kumar, Shivanand Gamanagati, Richa Aggarwal, Upendra Baitha, Ashutosh Biswas, Arvind Kumar, Pankaj Jorwal, Shalimar, A. Shariff, Naveet Wig, Rajeshwari Subramanium, Anjan Trikha, Rajesh Malhotra, Randeep Guleria, Vinay Namboodiri, Subhashis Banerjee, Chetan Arora
Summary: This study demonstrates that AI can assist radiologists in improving diagnostic accuracy and recall rates, especially in classifying normal CXR. Analysis of attention maps from the AI algorithm suggests a focus on cardiac region in normal radiographs.
EUROPEAN RADIOLOGY
(2021)
Article
Infectious Diseases
Jozef Ficik, Michal Andrezal, Hana Drahovska, Miroslav Bohmer, Tomas Szemes, Adriana Liptakova, Livia Slobodnikova
Summary: The COVID-19 era has significantly increased the incidence of carbapenem-resistant Klebsiella pneumoniae (CRKP) in hospitals. It is vital to monitor the global and local incidence of CRKP and its antimicrobial resistance. The study highlighted the importance of rational antibiotic policy and strict anti-epidemic precautions.
Article
Computer Science, Information Systems
Manisha Panjeta, Aryan Reddy, Rushabh Shah, Jash Shah
Summary: Deep Learning and Machine Learning are gaining popularity due to their improving algorithms, and their application in healthcare is expected to have a significant impact. The addition of AI to healthcare infrastructure has shown potential in improving overburdened and crumbling infrastructures worldwide, especially during the pandemic. These flexible and adaptable technologies can be used to combat COVID-19. This paper extensively examines various ML and DL-based models for detecting COVID-19, analyzing their pros and cons. It provides a systematic study of COVID-19 issues and rates detection methods based on availability, ease of use, accuracy, and cost. The comparison of different detection models helps researchers understand their advantages and disadvantages as a foundation for further research. The paper concludes by discussing the challenges and research questions associated with integrating these techniques with other detection methods.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Infectious Diseases
Mohamed Boudjelal, Faisal Almajed, Ahmed M. Salman, Naif K. Alharbi, Margaretta Colangelo, Julia M. Michelotti, Gene Olinger, Mariwan Baker, Adrian V. S. Hill, Ahmed Alaskar
Summary: The forum discussed the global challenges and prospects of COVID-19 vaccines, highlighting the importance of investing in biotech-pharma to combat future health crises, with a focus on Saudi Arabia's leadership in the field among G20 members.
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2021)
Article
Medicine, General & Internal
Hala Abubaker Bagabir, Ahmad Saeed Azhar
ANNALS OF SAUDI MEDICINE
(2014)
Review
Peripheral Vascular Disease
Richard Shemilt, Hala Bagabir, Chim Lang, Faisel Khan
VASA-EUROPEAN JOURNAL OF VASCULAR MEDICINE
(2019)
Article
Pharmacology & Pharmacy
Aftab Alam, Hala Abubaker Bagabir, Armiya Sultan, Mohd Faizan Siddiqui, Nikhat Imam, Mustfa F. Alkhanani, Ahmad Alsulimani, Shafiul Haque, Romana Ishrat
Summary: Tuberculosis (TB) is the leading cause of death from a single infectious agent, and its burden remains significant, especially in low- and middle-income countries. This study investigates the interaction between TB and noncommunicable diseases (NCDs), such as Parkinson's disease, cardiovascular disease, diabetes mellitus, rheumatoid arthritis, and lung cancer. By analyzing overlapping genes and constructing gene networks, the study identifies hub genes commonly associated with TB and its overlapping NCDs. Furthermore, a bipartite network of drugs and their targets is utilized to explore potential drug repurposing opportunities and identify side effects related to TB and its overlapping NCDs.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Genetics & Heredity
Mohd Murshad Ahmed, Almaz Zaki, Alaa Alhazmi, Khalaf F. Alsharif, Hala Abubaker Bagabir, Shafiul Haque, Kailash Manda, Shaniya Ahmad, Syed Mansoor Ali, Romana Ishrat
Summary: This study conducted an integrative analysis of sepsis, systemic lupus erythematosus (SLE), and cardiorenal syndrome (CRS), identifying shared gene networks and key genes. The findings provide a new research direction for the treatment of these diseases.
Article
Cardiac & Cardiovascular Systems
Mohd Murshad Ahmed, Safia Tazyeen, Shafiul Haque, Ahmad Sulimani, Rafat Ali, Mohd Sajad, Aftab Alam, Shahnawaz Ali, Hala Abubaker Bagabir, Rania Abubaker Bagabir, Romana Ishrat
Summary: The study aimed to explore the relationship between CVD and CKD at a molecular level by using bioinformatics approaches. By comparing gene expression data and analyzing the network, key genes and modules were identified. ClueGO was used to obtain a functionally ordered network, and the most influential nodes were determined using the IVI method.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Review
Pharmacology & Pharmacy
Nahla Khamis Ibrahim, Hala Abubaker A. Bagabir
Summary: This article examines the potential of various vaccines and viral infections to induce cross-reactive immunity against COVID-19, as well as the roles of herd immunity and convalescent serum therapy in preventing and controlling the disease. Observational studies suggest that BCG, MMR, OPV, DPT, and other vaccines may offer some protection against COVID-19. However, further clinical trials are needed to confirm these findings and assess the effects of herd immunity and convalescent serum.
JOURNAL OF PHARMACEUTICAL RESEARCH INTERNATIONAL
(2021)
Review
Biotechnology & Applied Microbiology
Subham Suvankar, Sunali Padhi, Hala Abubaker Bagabir, Abhijit Pati, Mohd Wahid, Raju K. Mandal, Shafiul Haque, Aditya K. Panda
Summary: This meta-analysis found a significant association between the CTLA-4 +49 A/G variant and susceptibility to systemic lupus erythematosus (SLE) development, as well as a link between the -1722 T/C variant and protection against SLE. The other two SNPs in the CTLA-4 gene did not show a connection to SLE. Interestingly, the association with CTLA-4 +49 A/G was only observed in the Asian population.
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS
(2023)
Review
Physiology
Jinit K. K. Mehta, Ginpreet Kaur, Harpal S. S. Buttar, Hala Abubaker Bagabir, Rania Abubaker Bagabir, Sali Abubaker Bagabir, Shafiul Haque, Hardeep S. S. Tuli, Istvan G. G. Telessy
Summary: The renin-angiotensin system (RAS) plays a pivotal role in blood pressure regulation and its overactivation can lead to cardiovascular damage, including coronary heart disease (CHD) and chronic heart failure (CHF). The incidence of cardiovascular diseases has been increasing rapidly and understanding the involvement of RAS in CHD can help improve current treatments and reduce side effects.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Public, Environmental & Occupational Health
Rodrigo C. Menezes, Isabella B. B. Ferreira, Luciana Sobral, Stefania L. Garcia, Hugo N. Pustilnik, Mariana Araujo-Pereira, Bruno B. Andrade
Summary: This study aimed to identify the clinical features associated with viral pathogens responsible for severe lower respiratory tract infections (LRTI) in children. The study found that different viral agents have distinct associations with clinical features in children.
JOURNAL OF INFECTION AND PUBLIC HEALTH
(2024)
Article
Public, Environmental & Occupational Health
Ambrina Khatoon, Syed F. Hussain, Syed M. Shahid, Santosh Kumar Sidhwani, Salman Ahmed Khan, Omer Ahmed Shaikh, Abdulqadir J. Nashwan
Summary: Despite the increasing incidence of Staphylococcus aureus infection and dissemination in Pakistan, research on the epidemiology of different Staphylococcus aureus clones has been limited. This study used multilocus sequence typing (MLST) to analyze the epidemiology of Staphylococcus aureus in the area, finding high diversity of locally circulating clones defined by their geographic epidemiology.
JOURNAL OF INFECTION AND PUBLIC HEALTH
(2024)
Review
Public, Environmental & Occupational Health
Amir Khorram-Manesh, Krzysztof Goniewicz, Frederick M. Burkle Jr
Summary: This article discusses the management approach for globalized diseases in a globalized world. Through literature review and analysis, key focuses including data-driven decision-making, robust technology infrastructure, global cooperation, and ongoing public health education are identified. The weaknesses of current pandemic management systems are revealed, and recommendations for strengthening future pandemic management are provided.
JOURNAL OF INFECTION AND PUBLIC HEALTH
(2024)
Article
Public, Environmental & Occupational Health
Mst S. Munira, Yuta Okada, Hiroshi Nishiura
Summary: This study estimates the life expectancy at birth in Japan at the end of 2022 using death datasets from Aichi and Fukui prefectures. The results suggest that the impact of the pandemic on life expectancy was relatively small by the end of 2022.
JOURNAL OF INFECTION AND PUBLIC HEALTH
(2024)