Artificial Intelligence In Medical Virology PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Artificial Intelligence In Medical Virology PDF full book. Access full book title Artificial Intelligence In Medical Virology.
| Author | : Jyotir Moy Chatterjee |
| Publisher | : Springer Nature |
| Total Pages | : 202 |
| Release | : 2023-04-21 |
| Genre | : Medical |
| ISBN | : 9819903696 |
Download Artificial Intelligence in Medical Virology Book in PDF, ePub and Kindle
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 |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2024-07-27 |
| Genre | : Science |
| ISBN | : 9789819729371 |
Download Role of Artificial Intelligence, Telehealth, and Telemedicine in Medical Virology Book in PDF, ePub and Kindle
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 |
| Publisher | : Springer Nature |
| Total Pages | : 593 |
| Release | : 2021-09-29 |
| Genre | : Medical |
| ISBN | : 9811573174 |
Download Applications of Artificial Intelligence in COVID-19 Book in PDF, ePub and Kindle
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 |
| Publisher | : Springer Nature |
| Total Pages | : 346 |
| Release | : 2022-11-09 |
| Genre | : Medical |
| ISBN | : 303108506X |
Download Artificial Intelligence in Covid-19 Book in PDF, ePub and Kindle
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 | : Lei Xing |
| Publisher | : Academic Press |
| Total Pages | : 570 |
| Release | : 2020-09-03 |
| Genre | : Medical |
| ISBN | : 0128212586 |
Download Artificial Intelligence in Medicine Book in PDF, ePub and Kindle
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 | : Paul Shapshak |
| Publisher | : Springer Nature |
| Total Pages | : 671 |
| Release | : 2019-11-22 |
| Genre | : Medical |
| ISBN | : 3030290220 |
Download Global Virology III: Virology in the 21st Century Book in PDF, ePub and Kindle
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 | : Mohammad Sufian Badar |
| Publisher | : Elsevier |
| Total Pages | : 428 |
| Release | : 2024-07-25 |
| Genre | : Science |
| ISBN | : 0323953735 |
Download Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques Book in PDF, ePub and Kindle
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 the 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 | : Parag Verma |
| Publisher | : CRC Press |
| Total Pages | : 528 |
| Release | : 2021-08-18 |
| Genre | : Computers |
| ISBN | : 1000391701 |
Download COVID-19 Book in PDF, ePub and Kindle
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 | : Louis J. Catania |
| Publisher | : Academic Press |
| Total Pages | : 562 |
| Release | : 2020-11-25 |
| Genre | : Science |
| ISBN | : 0323860052 |
Download Foundations of Artificial Intelligence in Healthcare and Bioscience Book in PDF, ePub and Kindle
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 | : Diego Oliva |
| Publisher | : Springer Nature |
| Total Pages | : 594 |
| Release | : 2021-07-19 |
| Genre | : Technology & Engineering |
| ISBN | : 3030697444 |
Download Artificial Intelligence for COVID-19 Book in PDF, ePub and Kindle
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
