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  • Ký hiệu PL/XG: 616.9101 A7914
    Nhan đề: Artificial intelligence in medical virology /

ISBN 9789819903689
DDC 616.9101
Nhan đề Artificial intelligence in medical virology / Jyotir Moy Chatterjee, Shailendra K. Saxena (editor)
Thông tin xuất bản Singapore : Springer, 2023
Mô tả vật lý 189 pages. : illustrations (black and white) ; cm.
Tóm tắt 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
Từ khóa tự do Bioinformatics in virology
Từ khóa tự do Computational virology
Từ khóa tự do Viral infections
Từ khóa tự do Artificial intelligence
Từ khóa tự do Medical virology
Khoa Khoa Khoa học Ứng dụng và Công nghệ
Tác giả(bs) CN Chatterjee, Jyotir Moy
Tác giả(bs) CN Saxena, Shailendra K.
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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245 |aArtificial intelligence in medical virology / |cJyotir Moy Chatterjee, Shailendra K. Saxena (editor)
260 |aSingapore : |bSpringer, |c2023
300 |a189 pages. : |billustrations (black and white) ; |ccm.
520 |aThis 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
653 |aBioinformatics in virology
653 |aComputational virology
653 |aViral infections
653 |aArtificial intelligence
653 |aMedical virology
690 |aKhoa Khoa học Ứng dụng và Công nghệ
691 |aKhoa học Y sinh - Thẩm mỹ
700 |aChatterjee, Jyotir Moy|eeditor
700 |aSaxena, Shailendra K.|eeditor
852 |aThư Viện Đại học Nguyễn Tất Thành
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