Artificial Intelligence in Medical Virology (Medical Virology: From Pathogenesis to Disease Control)

Name: Artificial Intelligence in Medical Virology (Medical Virology: From Pathogenesis to Disease Control)
SKU: 138347
Price: 6 USD
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6 $

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File Size : 6.3 MB

Category: Microbiology Books

Description

Artificial Intelligence in Medical Virology (Medical Virology: From Pathogenesis to Disease Control)

By Jyotir Moy Chatterjee, Shailendra K. Saxena

The field of Artificial Intelligence (AI) has made significant advancements in recent years, and its potential in biomedical research and healthcare is becoming increasingly evident. In their book, “Artificial Intelligence in Biomedical Research and Healthcare,” Jyotir Moy Chatterjee and Shailendra K. Saxena comprehensively explore the applications of AI in virology, with a particular emphasis on its role in tackling the COVID-19 pandemic.

The book begins by discussing the various machine learning methods used in biomedical research and healthcare. It covers the classical support vector machine and neural network, as well as modern deep learning techniques and natural language processing. These methods are essential tools for analyzing structured and unstructured data in the field, enabling researchers and healthcare professionals to make sense of complex information and extract meaningful insights.

The authors then delve into the applications of AI in the context of COVID-19. They examine how AI has been used to analyze the pandemic, track viral infection rates, understand disease spread, and develop control strategies. By harnessing the power of AI, researchers and healthcare practitioners have been able to gain valuable insights into the virus, its behavior, and its impact on human health. This knowledge is crucial in developing effective strategies to mitigate the spread of the disease and treat infected individuals.

In the field of virology, AI has the potential to revolutionize various aspects of infection management. The book explores the application of machine learning in diagnosing viral infections, predicting transmission patterns, monitoring response to treatment, and identifying drug resistance. These applications can significantly improve the accuracy and efficiency of diagnosis and treatment, ultimately leading to better patient outcomes.

Furthermore, the book highlights the progress and challenges in developing viral vaccines. AI can play a significant role in vaccine development by analyzing large datasets, identifying potential targets for vaccine design, and predicting vaccine efficacy. By leveraging AI tools, researchers can accelerate the development of vaccines, potentially leading to more effective and timely responses to viral outbreaks.

One intriguing aspect discussed in the book is the use of viruses in translational research and human healthcare. Viruses, which were once considered agents of disease, are now being studied and engineered to deliver therapeutic agents, target specific cells, and treat various medical conditions. AI can help researchers analyze the complex interactions between viruses and human cells, leading to the development of novel and innovative therapeutic approaches.

The book also touches on the applications of AI in diagnosing diseases and developing drugs. By analyzing patient data and medical imaging, AI algorithms can aid in the early detection and accurate diagnosis of various diseases. Additionally, AI can assist in the identification and development of new drugs by analyzing vast amounts of genomic and proteomic data, accelerating the drug discovery process and potentially leading to more targeted and personalized therapies.

Throughout the book, the authors address the ethical and legal challenges posed by AI in healthcare and biomedical research. As AI becomes more prevalent in these fields, questions around data privacy, algorithm transparency, and bias need to be carefully considered. The book provides valuable insights into these complex issues and encourages readers to think critically about the ethical implications of AI in healthcare.

In summary, “Artificial Intelligence in Biomedical Research and Healthcare” is a comprehensive guide that explores the potential of AI in virology and its applications in biomedical research and healthcare. By reviewing the various machine learning methods and their use in analyzing structured and unstructured data, the book provides a solid foundation for understanding the role of AI in these fields. It highlights the specific applications of AI in tackling the COVID-19 pandemic, virology, vaccine development, disease diagnosis, and drug discovery. The book also addresses the ethical and legal challenges associated with AI in healthcare.

For researchers, medical and industry practitioners, academicians, and students interested in the applications of AI in biomedical research and healthcare, this book is an invaluable resource that offers a comprehensive understanding of the field and its potential to transform the way we approach healthcare and disease management. By ordering this book, you will gain valuable insights into the cutting-edge research and developments in AI in virology and healthcare, and be at the forefront of this exciting and rapidly evolving field.