Medical Virology: From Pathogenesis to Disease Control – serie

This book provides a comprehensive overview of recent novel coronavirus (SARS-CoV-2) infection, their biology and associated challenges for their treatment and prevention of novel Coronavirus Disease 2019 (COVID-19). Discussing various aspects of COVID-19 infection, including global epidemiology, genome organization, immunopathogenesis, transmission cycle, diagnosis, treatment, prevention, and control strategies, it highlights host-pathogen interactions, host immune response, and pathogen immune invasion strategies toward developing an immune intervention or preventive vaccine for COVID-19.An understanding of the topics covered in the book is imperative in the context of designing strategies to protect the human race from further losses and harm due to SARS-CoV-2 infection causing COVID-19.

This book provides a comprehensive overview of recent novel coronavirus (SARS-CoV-2) infection, their biology and associated challenges for their treatment and prevention of novel Coronavirus Disease 2019 (COVID-19). Discussing various aspects of COVID-19 infection, including global epidemiology, genome organization, immunopathogenesis, transmission cycle, diagnosis, treatment, prevention, and control strategies, it highlights host-pathogen interactions, host immune response, and pathogen immune invasion strategies toward developing an immune intervention or preventive vaccine for COVID-19.An understanding of the topics covered in the book is imperative in the context of designing strategies to protect the human race from further losses and harm due to SARS-CoV-2 infection causing COVID-19.

This book provides fundamental information on various techniques for the detection of SARS-CoV-2 including reverse transcriptase (RT) PCR, loop-mediated isothermal amplification, immunodiagnostic tests, and CRISPR-Cas. It reviews various testing kits and detection methodologies that are currently being used for the detection of SARS-CoV-2 and examines strategies for the post-treatment detection and monitoring of SARS-CoV-2. Further, it assesses the diagnostic potential of several SARS-CoV-2 proteins; and analyzes their structural determinants and immunogenicity.In turn, the book evaluates the potential of CRISPR-Cas 12-based assays for the detection of SARS-CoV-2 using RNA extracted from patients. Lastly, it discusses the use of miniaturized biosensors for the detection of other types of coronavirus.

This book provides fundamental information on various techniques for the detection of SARS-CoV-2 including reverse transcriptase (RT) PCR, loop-mediated isothermal amplification, immunodiagnostic tests, and CRISPR-Cas.

The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

This book provides up-to-date insights into the COVID-19 disease, addressing its outbreak, pathogenesis, biology, treatment interventions, and consequences as a global health crisis. Divided into six sections, the book covers a detailed examination of various facets of the disease. Section I delves into the host's genetic and epigenetic mechanisms in response to COVID-19. Section II focuses on disease diagnosis, providing valuable perspectives on kits, nucleic acid testing, immunological assays, imaging-based diagnosis, and variant-specific SARS-COV-2 detection. Section III covers cytokine storm, inflammation, and immunity, including the modulation of signaling pathways leading to immune evasion and persistence. Section IV reveals drug repurposing, exploring antiviral, anti-inflammatory, anti-platelet drugs, and target-based drug discovery. Section V explains the evolution of vaccine development including DNA, RNA, subunit, and viral vaccines. Finally, Section VI explores COVID-19's impact on associated comorbidities, ranging from cancer and cardiac issues to neurological damages and economic consequences.The book is relevant for scientists, and researchers working on pathogenesis, development, implementation, host-pathogen interactions, and drug repurposing of COVID-19 disease.

This book provides up-to-date information on the molecular diagnosis of viral diseases, including COVID–19, zika virus, human immunodeficiency virus (HIV), viral hepatitis, meningitis, and human papilloma virus (HPV). It covers global trends, the impact of viruses on society, and the need for molecular diagnostics. Initial chapters include information on popular molecular diagnostic methods and up-to-date strategies like Nucleic Acid Testing (NAT) and immunological methods, with an understanding of the challenges in their development. Further chapters emphasize emerging and next-generation diagnostic tools such as Specific High-sensitivity Enzymatic Reporter un-LOCKing (SHERLOCK), DNA Endonuclease Targeted CRISPR Trans Reporter (DETECTR), and Heating Unextracted Diagnostic Samples to Obliterate Nuclease (HUDSON), which boast a sensitivity of up to attomolar. The book also discusses high-end platforms like QIAsymphony. It is supplemented with illustrations and figures to aid conceptual understanding.The book is relevant for researchers in virology, clinicians involved in the therapy of viral diseases, and professionals in pathology labs interested in learning about advanced molecular diagnostic approaches for viral diseases.

This book provides up-to-date information on the molecular diagnosis of viral diseases, including COVID–19, zika virus, human immunodeficiency virus (HIV), viral hepatitis, meningitis, and human papilloma virus (HPV). It covers global trends, the impact of viruses on society, and the need for molecular diagnostics. Initial chapters include information on popular molecular diagnostic methods and up-to-date strategies like Nucleic Acid Testing (NAT) and immunological methods, with an understanding of the challenges in their development. Further chapters emphasize emerging and next-generation diagnostic tools such as Specific High-sensitivity Enzymatic Reporter un-LOCKing (SHERLOCK), DNA Endonuclease Targeted CRISPR Trans Reporter (DETECTR), and Heating Unextracted Diagnostic Samples to Obliterate Nuclease (HUDSON), which boast a sensitivity of up to attomolar. The book also discusses high-end platforms like QIAsymphony. It is supplemented with illustrations and figures to aid conceptual understanding.The book is relevant for researchers in virology, clinicians involved in the therapy of viral diseases, and professionals in pathology labs interested in learning about advanced molecular diagnostic approaches for viral diseases.

The book stands at the intersection of medical virology, computer science engineering, and artificial intelligence. This interdisciplinary book seeks to harness the strengths of these fields to address the complex challenges of diagnosing, treating, and managing viral diseases. Medical virology, which studies viruses and virus-like agents, plays a critical role in understanding infectious diseases and developing therapeutic strategies. However, the field faces immense challenges due to the sheer volume and complexity of virological data, which demands advanced computational tools for effective analysis and application.Computer science engineering provides the technological backbone for this initiative. Engineers in this field develop and implement sophisticated algorithms and data structures that enable the processing of large-scale virological datasets. In this context, computer science engineering is pivotal for creating the infrastructure necessary for deep learning and blockchain technologies. Deep learning, a branch of artificial intelligence, involves training neural networks to recognize patterns in vast datasets, enabling the discovery of insights that are otherwise obscured. When applied to medical virology, deep learning can significantly enhance the accuracy of viral diagnostics, predict disease outbreaks, and personalize treatment regimens based on the genetic makeup of both viruses and patients

The book explores the intersection of AI, telehealth, and viral infections, discussing the role of AI in pandemics, telehealth services, viral diagnosis, and antiviral drug development. It explores the integration of AI into telehealth, predicting outbreaks and monitoring mutations. The book emphasizes patient-centric healthcare, highlighting AI's transformative potential in infectious diseases. It covers medical virology, bioinformatics, machine learning, and neural networks. AI enables streamlined workflows, improved patient care, and new research methodologies. It addresses challenges and tailored solutions for AI integration in telehealth. It serves as a valuable resource for clinicians, physicians, virologists, researchers, and healthcare professionals seeking to navigate the evolving landscape of telehealth and harness the full potential of AI in transforming healthcare delivery.

This book provides a comprehensive overview of Japanese Encephalitis (JE), its pathobiology, and associated challenges for treatment and prevention. It focuses on various aspects of Japanese Encephalitis, including global epidemiology, genome organization and genotypes, virus-host interactions, immunopathogenesis, transmission dynamics, antibody-dependent enhancement, clinical characteristics, laboratory diagnosis, treatment, prevention, and control strategies. It provides a brief account of the Japanese encephalitis vaccine, their immunogenicity, protective ability, and impact of JE’s vaccine in reducing the burden of the disease. It also helps in understanding the molecular and cellular factors involved in the JE virus neuro-invasion and inflammatory processes. The book uniquely presents cutting-edge information and provides an edited information source for clinicians, virologists, pathologists, and immunologists. ​

This book provides a comprehensive overview of Japanese Encephalitis (JE), its pathobiology, and associated challenges for treatment and prevention. It focuses on various aspects of Japanese Encephalitis, including global epidemiology, genome organization and genotypes, virus-host interactions, immunopathogenesis, transmission dynamics, antibody-dependent enhancement, clinical characteristics, laboratory diagnosis, treatment, prevention, and control strategies. It provides a brief account of the Japanese encephalitis vaccine, their immunogenicity, protective ability, and impact of JE’s vaccine in reducing the burden of the disease. It also helps in understanding the molecular and cellular factors involved in the JE virus neuro-invasion and inflammatory processes. The book uniquely presents cutting-edge information and provides an edited information source for clinicians, virologists, pathologists, and immunologists. ​

This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare. The subsequent chapters explore the applications of AI in tackling COVID-19, analysis of the pandemic, viral infection, disease spread, and control. The book further identifies the potential applications of machine learning in the field of virology with a focus on the key aspects of infection: diagnosis, transmission, response to treatment, and resistance. The book also discusses progress and challenges in developing viral vaccines and examines the application of viruses in translational research and human healthcare.Furthermore, the book covers the applications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and biomedical research. This book is an invaluable source for researchers, medical and industry practitioners, academicians, and students exploring the applications of AI in biomedical research and healthcare.​