Artificial Intelligence In Medical Virology

Author : Jyotir Moy Chatterjee,Shailendra K. Saxena
Publisher : Springer Nature
Page : 202 pages
File Size : 45,8 Mb
Release : 2023-04-21
Category : Medical
ISBN : 9789819903696

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Artificial Intelligence in Medical Virology by Jyotir Moy Chatterjee,Shailendra K. Saxena Pdf

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. ​

Author : Jyotir Moy Chatterjee,R. Sujatha,Shailendra K Saxena
Publisher : Springer
Page : 0 pages
File Size : 45,6 Mb
Release : 2024-07-27
Category : Science
ISBN : 9819729378

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Role of Artificial Intelligence, Telehealth, and Telemedicine in Medical Virology by Jyotir Moy Chatterjee,R. Sujatha,Shailendra K Saxena Pdf

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.

Author : Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee
Publisher : Springer Nature
Page : 593 pages
File Size : 45,6 Mb
Release : 2021-09-29
Category : Medical
ISBN : 9789811573170

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Applications of Artificial Intelligence in COVID-19 by Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee Pdf

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.

Author : Niklas Lidströmer,Yonina C. Eldar
Publisher : Springer Nature
Page : 346 pages
File Size : 43,6 Mb
Release : 2022-11-09
Category : Medical
ISBN : 9783031085062

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Artificial Intelligence in Covid-19 by Niklas Lidströmer,Yonina C. Eldar Pdf

This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.

Author : Paul Shapshak,Seetharaman Balaji,Pandjassarame Kangueane,Francesco Chiappelli,Charurut Somboonwit,Lynette J. Menezes,John T. Sinnott
Publisher : Springer Nature
Page : 671 pages
File Size : 51,7 Mb
Release : 2019-11-22
Category : Medical
ISBN : 9783030290221

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Global Virology III: Virology in the 21st Century by Paul Shapshak,Seetharaman Balaji,Pandjassarame Kangueane,Francesco Chiappelli,Charurut Somboonwit,Lynette J. Menezes,John T. Sinnott Pdf

Global Virology, Volume III: Virology in the 21st Century examines work that has been undertaken, or is planned, in several fields of virology, in an effort to promote current and future work, research, and health. Fields and methods addressed include virology, immunology, space research, astrovirology/astrobiology, plasmids, swarm intelligence, bioinformatics, data-mining, machine learning, neural networks, critical equations, and advances in biohazard biocontainment. Novel and forward-looking methods, techniques, and approaches in research and development are presented by experts in the field.

Author : Louis J. Catania
Publisher : Academic Press
Page : 562 pages
File Size : 52,5 Mb
Release : 2020-11-25
Category : Science
ISBN : 9780323860055

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Foundations of Artificial Intelligence in Healthcare and Bioscience by Louis J. Catania Pdf

Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care. Provides an illustrated, foundational guide and comprehensive descriptions of what Artificial Intelligence is and how it functions Integrates a comprehensive discussion of AI applications in the business of health care Presents in-depth clinical and AI-related discussions on diagnostic medicine, therapeutic medicine, and prevalent disease categories with an emphasis on immunology and genetics, the two categories most influenced by AI Includes comprehensive coverage of a variety of AI treatment applications, including medical/pharmaceutical care, nursing care, stem cell therapies, robotics, and 10 common disease categories with AI applications

Author : Lei Xing,Maryellen L. Giger,James K. Min
Publisher : Academic Press
Page : 570 pages
File Size : 46,7 Mb
Release : 2020-09-03
Category : Medical
ISBN : 9780128212585

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Artificial Intelligence in Medicine by Lei Xing,Maryellen L. Giger,James K. Min Pdf

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Author : Parag Verma,Ankur Dumka,Alaknanda Ashok,Amit Dumka,Anuj Bhardwaj
Publisher : CRC Press
Page : 528 pages
File Size : 51,5 Mb
Release : 2021-08-18
Category : Computers
ISBN : 9781000391701

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COVID-19 by Parag Verma,Ankur Dumka,Alaknanda Ashok,Amit Dumka,Anuj Bhardwaj Pdf

This book highlights progress in terms of Virus Biology and Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques, that will provide learners and researchers (from basic to advanced) with the most innovative computer-driven methodologies for the fight against COVID-19. In addition, this book also covers the Pre- and Post-Impact of the COVID-19 Pandemic Crisis that will definitely provide useful content for researchers to think broadly about the analytical areas affected by COVID-19. This ultimately shows different paths to the same destination to help understand the nature of the COVID-19 pandemic and how to avoid it in the future.

Author : Mohammad Sufian Badar,Nima Rezaei,Hassan Imtiyaz,Jawed Ahmed,Afshar Alam
Publisher : Elsevier
Page : 0 pages
File Size : 43,9 Mb
Release : 2024-02-01
Category : Science
ISBN : 9780323953733

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Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques by Mohammad Sufian Badar,Nima Rezaei,Hassan Imtiyaz,Jawed Ahmed,Afshar Alam Pdf

Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques offers new insights and demonstrates how machine learning (ML), artificial intelligence (AI), and (Internet of Things (IoT) can be used to diagnose and fight COVID-19 infection. Sections also discuss the challenges we face in using these technologies. Chapters cover pathogenesis, transmission, diagnosis, and treatment strategies for COVID-19, Artificial Intelligence and Machine Learning, and Blockchain /IoT Blockchain technology, examining how AI can be applied as a tool for detection and containment of the spread of COVID-19, and on the socioeconomic and educational post-pandemic impacts of the disease. This is a multidisciplinary resource for those engaged in researching COVID-19 and how emerging technologies are being used as tools for detection, transmission and treatment strategies. Describes the molecular basis of pathogenesis, epidemiology, transmission mechanism, diagnostic approaches and mutational landscape of SARS-CoV-2 Provides insights into post COVID-19 symptoms and consequences Demonstrates how machine learning, AI and IoT is used to diagnose and fight COVID-19 infection Examines the use of Blockchain technology/IoT and interpretation and validation of data obtained from artificial intelligence

Author : Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee
Publisher : Unknown
Page : 0 pages
File Size : 53,9 Mb
Release : 2021
Category : Electronic
ISBN : 9811573182

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Applications of Artificial Intelligence in COVID-19 by Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee Pdf

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.

Author : Joseph Louis Melnick
Publisher : Unknown
Page : 0 pages
File Size : 45,7 Mb
Release : 1976
Category : Virus diseases
ISBN : OCLC:1412758895

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Progress in Medical Virology by Joseph Louis Melnick Pdf

Author : Anonim
Publisher : Unknown
Page : 230 pages
File Size : 55,7 Mb
Release : 1975
Category : Electronic
ISBN : OCLC:37987794

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Progress in Medical Virology. by Anonim Pdf

Author : Swagatam Das
Publisher : Springer Nature
Page : 553 pages
File Size : 51,5 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9789819995240

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Advances in Data-Driven Computing and Intelligent Systems by Swagatam Das Pdf

Author : Joseph L. Melnick
Publisher : Unknown
Page : 303 pages
File Size : 44,7 Mb
Release : 1962
Category : Electronic
ISBN : OCLC:867177293

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Progress in Medical Virology by Joseph L. Melnick Pdf

Author : Om Prakash Jena,Bharat Bhushan,Utku Kose
Publisher : CRC Press
Page : 332 pages
File Size : 52,9 Mb
Release : 2022-02-25
Category : Computers
ISBN : 9781000533972

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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications by Om Prakash Jena,Bharat Bhushan,Utku Kose Pdf

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments. This book aims to endow different communities with the innovative advances in theory, analytical results, case studies, numerical simulation, modeling, and computational structuring in the field of ML/DL models for healthcare applications. It will reveal different dimensions of ML/DL applications and will illustrate their use in the solution of assorted real-world biomedical and healthcare problems. Features: Covers the fundamentals of ML and DL in the context of healthcare applications Discusses various data collection approaches from various sources and how to use them in ML/DL models Integrates several aspects of AI-based computational intelligence such as ML and DL from diversified perspectives which describe recent research trends and advanced topics in the field Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics Emphasizes feature selection as an important step in any accurate model simulation where ML/DL methods are used to help train the system and extract the positive solution implicitly This book is a valuable source of information for researchers, scientists, healthcare professionals, programmers, and graduate-level students interested in understanding the applications of ML/DL in healthcare scenarios. Dr. Om Prakash Jena is an Assistant Professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India. Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at the School of Engineering and Technology, Sharda University, Greater Noida, India. Dr. Utku Kose is an Associate Professor in Suleyman Demirel University, Turkey.