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 seen significant advancements in recent years, and its potential applications in various industries have grown exponentially. One area where AI can have a profound impact is in biomedical research and healthcare. In their book, “Artificial Intelligence in Biomedical Research and Healthcare: Applications in Virology,” authors Jyotir Moy Chatterjee and Shailendra K. Saxena delve into the possibilities of AI in this important field.

This comprehensive book starts by exploring the applications of machine learning methods for structured and unstructured data in biomedical research and healthcare. The authors provide insights into classical support vector machines, neural networks, deep learning, and natural language processing. Machine learning algorithms have proved to be extremely effective in analyzing large datasets and extracting useful information. By utilizing these algorithms, researchers can identify patterns and trends that can greatly aid in disease diagnosis, treatment, and prevention.

The COVID-19 pandemic has highlighted the need for innovative solutions in the field of virology. Chatterjee and Saxena dedicate a significant portion of their book to discussing how AI can be leveraged to tackle various aspects of the pandemic. They delve into topics such as analyzing the spread and control of the disease, identifying viral infections, and understanding the response to treatment. The authors shed light on the potential of AI in aiding vaccine development and translational research.

The book also delves into the realm of artificial intelligence-mediated diagnosis and drug development. AI has the potential to revolutionize the way diseases are diagnosed. With the ability to analyze medical images and vast amounts of patient data, AI algorithms can identify patterns and anomalies that may not be easily detected by human observers. On the drug development front, AI can assist researchers in identifying potential drug candidates, predicting their efficacy, and even designing new compounds. The possibilities presented in this book are numerous and can lead to groundbreaking advancements in healthcare.

Throughout the book, Chatterjee and Saxena provide a balanced view of the progress and challenges associated with AI in biomedical research and healthcare. They highlight the ethical and legal considerations that arise when implementing AI systems in healthcare settings. These include issues surrounding data privacy, patient consent, and the responsibility of AI systems in making decisions that can have life-altering consequences. By addressing these concerns, the authors ensure that readers have a holistic understanding of the implications of AI in healthcare.

“Artificial Intelligence in Biomedical Research and Healthcare: Applications in Virology” is a valuable resource for researchers, medical and industry practitioners, academicians, and students interested in exploring the applications of AI in healthcare and biomedical research. The authors present a comprehensive overview of the potential of AI and its use in various facets of virology. With its thorough analysis and insightful discussions, this book serves as a guide for anyone seeking to understand and leverage the power of AI in improving healthcare outcomes.

Ordering this book is a decision that can have a significant impact on your understanding of AI’s potential in biomedical research and healthcare. By delving into the applications of AI in virology, the authors provide readers with an in-depth understanding of the subject matter. Whether you’re a researcher looking for new ways to advance your work or a medical practitioner seeking innovative approaches to patient care, this book offers valuable insights and practical knowledge.

In addition to the knowledge gained from reading this book, ordering it also contributes to the authors’ endeavors to provide valuable insights and advances in the field. By supporting their work, you are not only furthering your own education but also helping to foster continued research and progress in AI and virology. Take the opportunity to be at the forefront of cutting-edge advancements by ordering “Artificial Intelligence in Biomedical Research and Healthcare: Applications in Virology” today.

In conclusion, “Artificial Intelligence in Biomedical Research and Healthcare: Applications in Virology” by Jyotir Moy Chatterjee and Shailendra K. Saxena is a comprehensive guide to the potential of AI in the field of virology. The book covers a wide range of topics, from machine learning methods to COVID-19 analysis and the development of viral vaccines. By reading and ordering this book, readers can gain valuable knowledge and contribute to ongoing research in this critical field. Don’t miss the opportunity to explore the exciting intersection of AI and healthcare by ordering this book today.

Product Details

• Publisher ‏ : ‎ Springer; 1st ed. 2023 edition (April 22, 2023)
• Language ‏ : ‎ English
• Hardcover ‏ : ‎ 205 pages
• ISBN-10 ‏ : ‎ 9819903688
• ISBN-13 ‏ : ‎ 978-9819903689