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Author: Esteban A. Hernandez-Vargas Publisher: Academic Press ISBN: 0323906656 Category : Science Languages : en Pages : 248
Book Description
Feedback Control for Personalized Medicine provides ideas on ongoing efforts and obstacles by members of the control engineering community in different biological and medical applications. In addition, the book presents key challenges, insights, tools and theoretical developments that arise from personalized medicine, along with medical concepts that are explained by engineers to help non-experts follow research topics. Several clinical trials have tried to find therapeutic approaches to achieve eradication or at least lifelong, therapy-free, host control of the infection. This has been performed integrating clinical observations, empirical knowledge and information from medical tests to treat patients. As this “trial and error approach is becoming more challenging and unfeasible by the steep increase in the number of different pieces of information and the complexity of large datasets, a systematic and tractable approach that integrates a variety of biological and medical research data into mathematical models and computational algorithms is crucial to harness knowledge and to develop new therapies towards personalized medicine. Presents the most recent research in personalized medicine using control theoretical tools Offers numerical simulations that are analyzed in detail and compared with control experiments Brings the most recent research of control theory in medicine
Author: Esteban A. Hernandez-Vargas Publisher: Academic Press ISBN: 0323906656 Category : Science Languages : en Pages : 248
Book Description
Feedback Control for Personalized Medicine provides ideas on ongoing efforts and obstacles by members of the control engineering community in different biological and medical applications. In addition, the book presents key challenges, insights, tools and theoretical developments that arise from personalized medicine, along with medical concepts that are explained by engineers to help non-experts follow research topics. Several clinical trials have tried to find therapeutic approaches to achieve eradication or at least lifelong, therapy-free, host control of the infection. This has been performed integrating clinical observations, empirical knowledge and information from medical tests to treat patients. As this “trial and error approach is becoming more challenging and unfeasible by the steep increase in the number of different pieces of information and the complexity of large datasets, a systematic and tractable approach that integrates a variety of biological and medical research data into mathematical models and computational algorithms is crucial to harness knowledge and to develop new therapies towards personalized medicine. Presents the most recent research in personalized medicine using control theoretical tools Offers numerical simulations that are analyzed in detail and compared with control experiments Brings the most recent research of control theory in medicine
Author: Kewal K. Jain Publisher: Humana Press ISBN: 1493925539 Category : Medical Languages : en Pages : 762
Book Description
Advances in the technology used in personalized medicine and increased applications for clinical use have created a need for this expansion and revision of Kewal K. Jain’s Textbook of Personalized Medicine. As the first definitive work on this topic, this book reviews the fundamentals and development of personalized medicine and subsequent adoptions of the concepts by the biopharmaceutical industry and the medical profession. It also discusses examples of applications in key therapeutic areas, as well as ethical and regulatory issues, providing a concise and comprehensive source of reference for those involved in healthcare management, planning and politics. Algorithms are included as a guide to those involved in the management of important diseases where decision-making is involved due to the multiple choices available. Textbook of Personalized Medicine, Second Edition will serve as a convenient source of information for physicians, scientists, decision makers in the biopharmaceutical and healthcare industries and interested members of the public.
Author: Khang, Alex Publisher: IGI Global ISBN: Category : Medical Languages : en Pages : 585
Book Description
In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.
Author: Kewal K. Jain Publisher: Springer Nature ISBN: 3030620808 Category : Medical Languages : en Pages : 744
Book Description
This book is for personalized medicine as a prescription of specific treatments and therapeutics best suited for an individual and considers genetic as well as environmental factors that influence responses to therapy. Best approaches are described for integration of all available technologies for optimizing the therapy of individual patients. This comprehensive third edition covers the latest advances in personalized medicine and several chapters are devoted to various specialties, particulary cancer which is the largest area of application. The book discusses the development of personalized medicine and various players in it such as companies, academic institutions, the government, and the public as the consumer of healthcare. Additionally, the roles of bioinformatics, electronic health records, and digital technologies for personalized medicine are discussed. Textbook of Personalized Medicine, 3rd Edition serves as a convenient source of information for students at many levels and in a wide range of fields, including physicians, scientists, and decision makers in the biopharmaceutical and healthcare industries.
Author: Priya Hays Publisher: Springer Nature ISBN: 3030801004 Category : Medical Languages : en Pages : 755
Book Description
This book provides a unique perspective on the biomedical and societal implications of personalized medicine and how it helps to mitigate the healthcare crisis and rein in ever-growing expenditure. It introduces the reader to the underlying concepts at the heart of personalized medicine. An innovative second edition, this book functions as an update to the successful first edition to include new, state-of-the-art information and advancements in the fast-paced field of personalized medicine. Chapters examine pharmacogenomics, targeted therapies, individualized diagnosis and treatment, and cancer immunotherapies. The book also features an essential discussion on how the advent of genomic technologies gives clinicians the capability to predict and diagnose disease more efficiently and offers a detailed up-to-date compilation of clinical trials in cancer leading to breakthrough therapies. The book also addresses the impact of Big Data on personalized medicine and the newfound applications of digital health and artificial intelligence. A work that advocates for a patient-centered approach, Advancing Healthcare Through Personalized Medicine, Second Edition is an invaluable text for clinicians, healthcare providers, and patients.
Author: Qing Yan Publisher: Academic Press ISBN: 0128043881 Category : Computers Languages : en Pages : 184
Book Description
Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine. Through the description of important cutting-edge technologies in bioinformatics and systems biology, readers may gain an essential understanding of state-of-the-art methodologies. The book discusses topics such as the challenges and tasks in translational bioinformatics; pharmacogenomics, systems biology, and personalized medicine; and the applicability of translational bioinformatics for biomarker discovery, epigenomics, and molecular dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and clinical applications, this book is suitable for a wide range of readers who may not be scientists but who are also interested in the practice of personalized medicine. Introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine Presents a problem-solving oriented methodology to deal with practical problems in various applications Covers both basic scientific and clinical applications in order to enhance the collaboration between researchers and clinicians Brings integrative and multidisciplinary approaches to bridge the gaps among various knowledge domains in the field
Author: Nada Bodiroga-Vukobrat Publisher: Springer ISBN: 3319393499 Category : Law Languages : en Pages : 280
Book Description
This book offers comprehensive coverage of the various aspects of personalized medicine as an original approach to classifying, understanding, treating and preventing disease based on individual biological differences. In the introductory section, it defines personalized medicine as a way toward new medical practices and addresses the question: What can personalized medicine offer citizens, medical professionals, reimbursement bodies and stakeholders? Subsequent chapters discuss the technological aspects of personalized medicine: data collection, comprehensive integration and handling of data, together with key enabling factors in developing the requisite technological support for personalized medicine. Lastly, the book explores the main issues shaping the implementation and development of personalized medicine – education, stakeholder participation, infrastructure, a new approach to the classification of disease and medical tests, regulatory frameworks, and new reimbursement models – together with ethical, legal and social issues. Ultimately, the book calls for interdisciplinarity and a radical change in the way we approach the health and wellbeing of individuals. Target groups are medical doctors and researchers in the field of biomedicine, as well as experts from the social sciences dealing with legal, economic and social aspects of health system issues in general. Though the book will primarily benefit these groups of professional experts, its content will also appeal to a far wider readership, as it deals with a paradigm shift in one of society’s main pillars – the health system.
Author: Halina Podbielska Publisher: Springer Nature ISBN: 3031348842 Category : Medical Languages : en Pages : 352
Book Description
This volume presents advanced bio/medical sciences with a particular value for translating research achievements into daily medical practice in the framework of Predictive, Preventive and Personalised Medicine (3PM/PPPM). First two decades of the 21st century are characterised by epidemics of non-communicable diseases such as many hundreds of millions of patients diagnosed with cardiovascular diseases and the type 2 diabetes mellitus, breast, lung, liver and prostate malignancies, neurological, sleep, mood and eye disorders, amongst others. Consequent socio-economic burden is tremendous. Unprecedented decrease in age of maladaptive individuals has been reported. The absolute majority of expanding non-communicable disorders carry a chronic character, over a couple of years progressing from reversible suboptimal health conditions to irreversible severe pathologies and cascading collateral complications. The paradigm change from reactive to predictive preventive and personalised medicine is essential to promote population health by application of individualised patient profiling, multi-parametric analysis leading to cost-effective targeted prevention. To this end, inadequate data for risk assessment on speed and urgency of COVID-19, combined with increased globalization of human society, led to the rapid spread of COVID-19. Despite an abundance of digital methods that could be used in slowing or stopping this virus and future pandemics, the world remains unprepared, and lessons have not been learned from previous cases of pandemics. The book presents PPPM strategies which might be of great clinical utility for future pandemics. In a long-term way, a significantly improved healthcare economy is one of the clear benefits of the proposed paradigm shift; a tight collaboration between all stakeholders including scientific community, healthcare providers, patient organisations, policy-makers and educators is analysed for the smooth implementation of the 3PM concepts. Further issues linked to big data management and medical ethics have to be carefully treated in the context of application of artificial intelligence in medicine.