Artificial Intelligence in Microbiology: Scope and Challenges Volume 1
Artificial Intelligence in Microbiology: Scope and Challenges Volume 1

Author:

Publisher: Elsevier

Published: 2024-08-01

Total Pages: 300

ISBN-13: 0443296251

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Nowadays, the field of microbiology is undergoing a revolutionary change due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, exploring the interaction between microorganisms and the surrounding environment. It also helps to extract novel microbial metabolites which have been used in various fields like medical, food and agricultural industries. As the pace of innovation in Microbiology is accelerating, the use of AI in these industries will be beneficial. AI will not only show its extraordinary potential in expanding the market of antibiotics, food, and agriculture but also offer an eco-friendly, safer, and profitable solution to the respective industries. It would be challenging to search out specific features and discuss future research on AI in microbiology with a wide perspective. Uncovering extended functions of AI in Microbiology. Production and development of novel drug targets through AI. Challenges for using and selecting appropriate AI tools in health, agriculture and food sector

Artificial Intelligence in Microbiology: Scope and Challenges volume-II
Artificial Intelligence in Microbiology: Scope and Challenges volume-II

Author:

Publisher: Academic Press

Published: 2025-01-01

Total Pages: 0

ISBN-13: 9780443296260

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Nowadays, the field of microbiology is undergoing a revolutionary change due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, exploring the interaction between microorganisms and the surrounding environment. It also helps to extract novel microbial metabolites which have been used in various fields like medical, food and agricultural industries. As the pace of innovation in Microbiology is accelerating, the use of AI in these industries will be beneficial. AI will not only show its extraordinary potential in expanding the market of antibiotics, food, and agriculture but also offer an eco-friendly, safer, and profitable solution to the respective industries. It would be challenging to search out specific features and discuss future research on AI in microbiology with a wide perspective.

Artificial Intelligence in Medical Virology
Artificial Intelligence in Medical Virology

Author: Jyotir Moy Chatterjee

Publisher: Springer Nature

Published: 2023-04-21

Total Pages: 202

ISBN-13: 9819903696

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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. ​

Artificial Intelligence and Machine Learning for Healthcare
Artificial Intelligence and Machine Learning for Healthcare

Author: Chee-Peng Lim

Publisher: Springer Nature

Published: 2022-09-26

Total Pages: 239

ISBN-13: 3031111540

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Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.

Immunological Methods in Microbiology
Immunological Methods in Microbiology

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Publisher: Academic Press

Published: 2020-05-13

Total Pages: 414

ISBN-13: 0128208112

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Immunological Methods in Microbiology, Volume 47 in the Methods in Microbiology series, highlights new advances in the field, with this new volume presenting interesting chapters on Immunological Techniques in the Clinical laboratory, Immunologic Diagnosis of HIV and Opportunistic Infections, Combining Antigen Detection and Serology for the Diagnosis of Selected Infectious Diseases, Immunologic Detection of Lyme Disease and Related Borrelioses, Immunodetection of Bacteria Causing Brucellosis, Immunological Diagnostic Techniques Used to Identify and Type Pasteurella, Immunological Tests for Diarrhea caused by Diarrheagenic Escherichia coli Targeting Their Main Virulence Factors, and much more. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Methods in Microbiology series Includes the latest information on Immunological Methods in Microbiology

Methods in Microbiology
Methods in Microbiology

Author:

Publisher: Academic Press

Published: 2021-07-07

Total Pages: 216

ISBN-13: 0128211466

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The book Methods in Silkworm Microbiology is the first ever publication that provides in-depth reviews on the latest progresses about silkworm –pathogen interactions, diseases and management practices for sustainable development of sericulture. Different molecular and immunodiagnostic methods for the detection of pathogens have been comprehensively addressed. Most recent advancements on the role of Micro RNAs in silkworm and pathogen interactions are provided with suitable illustrations. Recent technological advances and emerging trends in exploring silkworm gut microbial communities towards translation research, particularly to understand microbiome functions have been highlighted. Information on various immune mechanisms of silkworm against invading pathogens is summarized. The book further highlights the silkworm gut microbiota as a potential source for biotechnological applications. Provide comprehensive reviews and valuable methods from the selected experts on the topic "Methods in silkworm microbiology/pathology" Provides latest information on application of genomics and transcriptomics to decipher silkworm gut microbial communities. Different molecular and immunodiagnostic methods for the detection of pathogens have been comprehensively addressed Provides up to date information on silkworm-pathogen interactions, different silkworm diseases and immune mechanisms

Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare

Author: Adam Bohr

Publisher: Academic Press

Published: 2020-06-21

Total Pages: 385

ISBN-13: 0128184396

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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

The Next Production Revolution Implications for Governments and Business
The Next Production Revolution Implications for Governments and Business

Author: OECD

Publisher: OECD Publishing

Published: 2017-05-10

Total Pages: 442

ISBN-13: 9264271031

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This publication examines the opportunities and challenges, for business and government, associated with technologies bringing about the “next production revolution”. These include a variety of digital technologies (e.g. the Internet of Things and advanced robotics), industrial...