Artificial Intelligence Machine Learning And Deep Learning In Precision Medicine In Liver Diseases
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Artificial Intelligence Machine Learning And Deep Learning In Precision Medicine In Liver Diseases
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Author : Tung-Hung Su
language : en
Publisher: Elsevier
Release Date : 2023-08-20
Artificial Intelligence Machine Learning And Deep Learning In Precision Medicine In Liver Diseases written by Tung-Hung Su and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-20 with Science categories.
Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine and Liver Diseases: Concept, Technology, Application, and Perspectives combines four major applications of artificial intelligence (AI) within the field of clinical medicine specific to liver diseases: radiology imaging, electronic health records, pathology, and multiomics. The book provides a state-of-the-art summary of AI in precision medicine in hepatology, clarifying the concept and technology of AI and pointing to the current and future applications of AI within the field of hepatology. Coverage includes data preparation, methodology and application within disease-specific cases in fibrosis, viral and steatohepatitis, cirrhosis, hepatocellular carcinoma, acute liver failure, liver transplantation, and more. The ethical and legal issues of AI and future challenges and perspectives are also discussed. By highlighting many new AI applications which can further research, diagnosis, and treatment, this reference is the perfect resource for both practicing hepatologists and researchers focused on AI applications in medicine. - Introduces the concept of AI and machine learning of precision medicine in the field of hepatology - Discusses current challenges of AI in healthcare and proposes future tasks for AI in new workflows of healthcare - Provides real-world applications from domain experts in clinical medicine
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
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
Precision Medicine And Artificial Intelligence
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Author : Michael Mahler
language : en
Publisher: Elsevier
Release Date : 2021-03-17
Precision Medicine And Artificial Intelligence written by Michael Mahler and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Medical categories.
Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine
Ai Personalized Medicine Therapy
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Author : Joohee Pradhan
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-02-05
Ai Personalized Medicine Therapy written by Joohee Pradhan and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.
Discover how artificial intelligence is revolutionizing healthcare with this book, edited by Dr Joohee Pradhan and Dr Ajay Kumar Shukla. This insightful book highlights the groundbreaking applications of AI in medical treatment, from precision diagnostics and drug discovery to robotic surgeries and telemedicine. It explores the transformative potential of technologies like machine learning and natural language processing to deliver personalized, efficient, and cost-effective care. Addressing both the promise and the challenges, the book examines critical topics such as AI-driven decision support, remote patient monitoring, and the ethical considerations of data privacy and algorithmic bias. Bridging the gap between innovation and real-world applications, this book is an essential resource for healthcare professionals, researchers, and technology enthusiasts looking to understand and harness AI’s potential in medicine. Transform the way you think about healthcare with this comprehensive and forward-looking exploration of AI’s role in shaping the future.
Computational Intelligence For Genomics Data
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Author : Babita Pandey
language : en
Publisher: Elsevier
Release Date : 2025-01-21
Computational Intelligence For Genomics Data written by Babita Pandey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Computers categories.
Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers. - Provides comparative analysis of machine learning and deep learning methods in the analysis of genomic data, discussing major design challenges, best practices, pitfalls, and research potential - Explores machine and deep learning techniques applied to dimensionality reduction, feature extraction, data selection, and their application in genomics - Presents case studies of various diseases based on gene microarray expression data, including cancer, liver disorders, neuromuscular disorders, and neurodegenerative disorders
Current Trends In The Diagnosis And Management Of Metabolic Disorders
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Author : Seth Kwabena Amponsah
language : en
Publisher: CRC Press
Release Date : 2023-12-14
Current Trends In The Diagnosis And Management Of Metabolic Disorders written by Seth Kwabena Amponsah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-14 with Medical categories.
This volume provides an overview of the biochemical basis of metabolic diseases and molecular basis of chemical pathologies. Metabolic disorders occur when metabolic processes in the body are disrupted. They contribute a significant burden to human health globally. They can be congenital or acquired, for example, diabetes mellitus, obesity, metabolic syndrome, osteoporosis, osteopenia, mild-moderate hypovitaminosis D, erectile dysfunction, dyslipidemia, and thyroiditis. Metabolic disorders have gained significant importance due to the exponential increase in obesity worldwide. Early diagnosis of metabolic disorders is important in order to employ lifestyle and risk factor modification. Features: An overview of the biochemical basis of metabolic diseases and molecular basis of chemical pathologies Describes recent trends in diagnosis of metabolic disorders Discusses management and treatment of metabolic diseases Allows quick identification and retrieval of material by researchers learning the efficacy, associated dosage and toxicity of each of the classes of compounds Suitable globally for graduate and postgraduate students studying metabolic diseases
Precision Medicine And Artificial Intelligence
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Author : Michael Mahler
language : en
Publisher: Academic Press
Release Date : 2021-03-12
Precision Medicine And Artificial Intelligence written by Michael Mahler and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-12 with Science categories.
Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. - Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions - Provides background, milestone and examples of precision medicine - Outlines the paradigm shift towards precision medicine driven by value-based systems - Discusses future applications of precision medicine research using AI - Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine
Implementation Of Personalized Precision Medicine
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Author : William P. Stanford
language : en
Publisher: Elsevier
Release Date : 2024-11-22
Implementation Of Personalized Precision Medicine written by William P. Stanford and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Science categories.
Implementation of Personalized Precision Medicine: Expanding the Clinical Vision towards Prevention, Early Detection, and Precision Treatment of Disease to Drive Extended Healthspan establishes the landscape of precision medicine as it stands in relation to implementation of individualized approaches based on the patient's unique genomic and biochemical make-up to facilitate prevention, early detection and personalized interventions. This reference details how these lofty goals are now achievable with the science of today (and tomorrow) and provides the context and blueprint allowing researchers and clinicians to avoid, and more effectively treat, complex chronic disease.At the heart of precision medicine lies one concept that has been missing from modern medicine–the unique genetic and biochemical make-up of each individual patient. Uniquely organized, this reference reflects this concept and provides insights into patient constitution, genetic inherited risk, current epigenetic modifications, and current biochemical state, making this reference valuable to researchers and science-minded providers who modified, reverse or prevent disease progression. - Explores the expanding paradigm of Precision Medicine application highlighting full personalization in precision medicine. - Explores the gap between precision medicine implementation and medical policy, showing the integration and implementation of technologies in primary care for chronic disease. - Provides fresh viewpoints and perspectives for researchers and science-minded providers on the forefront of implementation, to be informed of the best available tools and approaches for each individual patient.
Sinusoidal Cells In Liver Diseases
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Author : Jordi Gracia-Sancho
language : en
Publisher: Elsevier
Release Date : 2024-04-09
Sinusoidal Cells In Liver Diseases written by Jordi Gracia-Sancho and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-09 with Science categories.
Sinusoidal Cells in Liver Diseases: Role in their Pathophysiology, Diagnosis, and Treatment provides a state-of-the-art review on recent advances surrounding the role of liver sinusoidal cells (LSECs, HSCs, macrophages, and other non-parenchymal cells) in acute and chronic liver diseases. Coverage emphasizes disease pathophysiology, novel mechanisms, unmet clinical questions, development of biomarkers and treatment opportunities. By focusing on the role of sinusoidal cells in human liver diseases, this reference provides a comprehensive overview of the role of sinusoidal cells in acute and chronic liver diseases, in its pathophysiology and mechanisms, and in the development of novel biomarkers and new therapeutics. Cells of the liver vasculature play an essential role in the pathophysiology of acute and chronic liver diseases and are considered key therapeutic targets to treat most of human hepatopathies. Coverage in this reference includes the phenotypic changes occurring in liver vascular cells and how cells contribute to the development of microcirculatory dysfunction, fibrosis, inflammation, and liver failure. - Provides a comprehensive update on the role of sinusoidal cells in acute and chronic liver diseases - Covers our current understanding of the role of sinusoidal cells as therapeutic targets to improve liver diseases - Presents the latest research in the development of novel biomarkers of liver diseases that derive from sinusoidal cells
Artificial Intelligence And Machine Learning In Drug Design And Development
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Author : Abhirup Khanna
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-21
Artificial Intelligence And Machine Learning In Drug Design And Development written by Abhirup Khanna and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.
The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.