Artificial Intelligence in Precision Health Book

Artificial Intelligence in Precision Health


  • Author : Debmalya Barh
  • Publisher : Academic Press
  • Release Date : 2020-03-04
  • Genre: Business & Economics
  • Pages : 544
  • ISBN 10 : 9780128173381

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Artificial Intelligence in Precision Health Book Description :

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support

Artificial Intelligence in Precision Health Book

Artificial Intelligence in Precision Health


  • Author : Debmalya Barh
  • Publisher : Academic Press
  • Release Date : 2020-01-24
  • Genre:
  • Pages : 500
  • ISBN 10 : 0128171332

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Artificial Intelligence in Precision Health Book Description :

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyse AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modelling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care, and clinical decision support

Precision Health and Medicine Book

Precision Health and Medicine


  • Author : Arash Shaban-Nejad
  • Publisher : Springer
  • Release Date : 2019-08-01
  • Genre: Technology & Engineering
  • Pages : 197
  • ISBN 10 : 9783030244095

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Precision Health and Medicine Book Description :

This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.

Artificial Intelligence for Drug Development  Precision Medicine  and Healthcare Book

Artificial Intelligence for Drug Development Precision Medicine and Healthcare


  • Author : Mark Chang
  • Publisher : CRC Press
  • Release Date : 2020-05-12
  • Genre: Business & Economics
  • Pages : 352
  • ISBN 10 : 9781000767308

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Artificial Intelligence for Drug Development Precision Medicine and Healthcare Book Description :

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Precision Medicine for Investigators  Practitioners and Providers Book

Precision Medicine for Investigators Practitioners and Providers


  • Author : Joel Faintuch
  • Publisher : Academic Press
  • Release Date : 2019-11-16
  • Genre: Science
  • Pages : 640
  • ISBN 10 : 9780128191798

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Precision Medicine for Investigators Practitioners and Providers Book Description :

Precision Medicine for Investigators, Practitioners and Providers addresses the needs of investigators by covering the topic as an umbrella concept, from new drug trials to wearable diagnostic devices, and from pediatrics to psychiatry in a manner that is up-to-date and authoritative. Sections include broad coverage of concerning disease groups and ancillary information about techniques, resources and consequences. Moreover, each chapter follows a structured blueprint, so that multiple, essential items are not overlooked. Instead of simply concentrating on a limited number of extensive and pedantic coverages, scholarly diagrams are also included. Provides a three-pronged approach to precision medicine that is focused on investigators, practitioners and healthcare providers Covers disease groups and ancillary information about techniques, resources and consequences Follows a structured blueprint, ensuring essential chapters items are not overlooked

Deep Medicine Book
Score: 4.5
From 3 Ratings

Deep Medicine


  • Author : Eric Topol
  • Publisher : Basic Books
  • Release Date : 2019-03-12
  • Genre: Health & Fitness
  • Pages : 400
  • ISBN 10 : 9781541644649

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Deep Medicine Book Description :

One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

P5 eHealth  An Agenda for the Health Technologies of the Future Book

P5 eHealth An Agenda for the Health Technologies of the Future


  • Author : Gabriella Pravettoni
  • Publisher : Springer Nature
  • Release Date : 2019-11-29
  • Genre: Medical
  • Pages : 189
  • ISBN 10 : 9783030279943

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P5 eHealth An Agenda for the Health Technologies of the Future Book Description :

This open access volume focuses on the development of a P5 eHealth, or better, a methodological resource for developing the health technologies of the future, based on patients’ personal characteristics and needs as the fundamental guidelines for design. It provides practical guidelines and evidence based examples on how to design, implement, use and elevate new technologies for healthcare to support the management of incurable, chronic conditions. The volume further discusses the criticalities of eHealth, why it is difficult to employ eHealth from an organizational point of view or why patients do not always accept the technology, and how eHealth interventions can be improved in the future. By dealing with the state-of-the-art in eHealth technologies, this volume is of great interest to researchers in the field of physical and mental healthcare, psychologists, stakeholders and policymakers as well as technology developers working in the healthcare sector.

Machine Learning and AI for Healthcare Book
Score: 4
From 1 Ratings

Machine Learning and AI for Healthcare


  • Author : Arjun Panesar
  • Publisher : Apress
  • Release Date : 2019-02-04
  • Genre: Computers
  • Pages : 368
  • ISBN 10 : 9781484237991

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Machine Learning and AI for Healthcare Book Description :

Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll Learn Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents Who This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Discovering Precision Health Book

Discovering Precision Health


  • Author : Lloyd Minor
  • Publisher : John Wiley & Sons
  • Release Date : 2020-01-23
  • Genre: Medical
  • Pages : 288
  • ISBN 10 : 9781119672685

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Discovering Precision Health Book Description :

Today we are on the brink of a much-needed transformative moment for health care. The U.S. health care system is designed to be reactive instead of preventive. The result is diagnoses that are too late and outcomes that are far worse than our level of spending should deliver. In recent years, U.S. life expectancy has been declining. Fundamental to realizing better health, and a more effective health care system, is advancing the disruptive thinking that has spawned innovation in Silicon Valley and throughout the world. That's exactly what Stanford Medicine has done by proposing a new vision for health and health care. In Discovering Precision Health, Lloyd Minor and Matthew Rees describe a holistic approach that will set health care on the right track: keep people healthy by preventing disease before it starts and personalize the treatment of individuals precisely, based on their specific profile. With descriptions of the pioneering work undertaken at Stanford Medicine, complemented by fascinating case studies of innovations from entities including the Chan Zuckerberg Biohub, GRAIL, and Impossible Foods, Minor and Rees present a dynamic vision for the future of individual health and health care. You'll see how tools from smartphone technology to genome sequencing to routine blood tests are helping avert illness and promote health. And you'll learn about the promising progress already underway in bringing greater precision to the process of predicting, preventing, and treating a range of conditions, including allergies, mental illness, preterm birth, cancer, stroke, and autism. The book highlights how biomedical advances are dramatically improving our ability to treat and cure complex diseases, while emphasizing the need to devote more attention to social, behavioral, and environmental factors that are often the primary determinants of health. The authors explore thought-provoking topics including: The unlikely role of Google Glass in treating autism How gene editing

Artificial Intelligence and Machine Learning   An Issue of Neuroimaging Clinics of North America  E Book Book

Artificial Intelligence and Machine Learning An Issue of Neuroimaging Clinics of North America E Book


  • Author : Reza Forghani
  • Publisher : Elsevier Health Sciences
  • Release Date : 2020-10-23
  • Genre: Medical
  • Pages : 240
  • ISBN 10 : 9780323712453

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Artificial Intelligence and Machine Learning An Issue of Neuroimaging Clinics of North America E Book Book Description :

This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!

Artificial Intelligence in Healthcare Book

Artificial Intelligence in Healthcare


  • Author : Adam Bohr
  • Publisher : Academic Press
  • Release Date : 2020-06-21
  • Genre: Computers
  • Pages : 378
  • ISBN 10 : 9780128184394

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Artificial Intelligence in Healthcare Book Description :

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

MEDINFO 2017  Precision Healthcare Through Informatics Book

MEDINFO 2017 Precision Healthcare Through Informatics


  • Author : A.V. Gundlapalli
  • Publisher : IOS Press
  • Release Date : 2018-01-31
  • Genre: HEALTH & FITNESS
  • Pages : 1476
  • ISBN 10 : 9781614998303

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MEDINFO 2017 Precision Healthcare Through Informatics Book Description :

Medical informatics is a field which continues to evolve with developments and improvements in foundational methods, applications, and technology, constantly offering opportunities for supporting the customization of healthcare to individual patients. This book presents the proceedings of the 16th World Congress of Medical and Health Informatics (MedInfo2017), held in Hangzhou, China, in August 2017, which also marked the 50th anniversary of the International Medical Informatics Association (IMIA). The central theme of MedInfo2017 was "Precision Healthcare through Informatics", and the scientific program was divided into five tracks: connected and digital health; human data science; human, organizational, and social aspects; knowledge management and quality; and safety and patient outcomes. The 249 accepted papers and 168 posters included here span the breadth and depth of sub-disciplines in biomedical and health informatics, such as clinical informatics; nursing informatics; consumer health informatics; public health informatics; human factors in healthcare; bioinformatics; translational informatics; quality and safety; research at the intersection of biomedical and health informatics; and precision medicine. The book will be of interest to all those who wish to keep pace with advances in the science, education, and practice of biomedical and health informatics worldwide.

Emerging Technologies for Nurses Book

Emerging Technologies for Nurses


  • Author : Whende M. Carroll, MSN, RN-BC
  • Publisher : Springer Publishing Company
  • Release Date : 2020-03-15
  • Genre: Medical
  • Pages : 262
  • ISBN 10 : 9780826146519

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Emerging Technologies for Nurses Book Description :

Learn and innovate with the latest technologies in Nursing and Healthcare! The first text of its kind in nursing, this book provides up-to-date information on innovative, smart technologies that nurses can use in clinical and non-clinical settings to keep up with the changing face of healthcare. This compelling guide will provide you with information about exciting areas of technology that have great potential to improve patient care. Subjects include big data, artificial intelligence, virtual and augmented realities, connected technologies, and precision health. There is also discussion of the shift of healthcare delivery into the community, with an outlook on improving outcomes and enhancing practice. Each chapter focuses on developing competency in current and future real-world applications of emerging technologies. Early chapters describe how to utilize new tools, processes, models, and products to serve the Quadruple Aim of better managing populations, decreasing costs, and enhancing both the patient and the clinician’s experience. The culture of innovation coincides with the ever-changing politics of healthcare in later chapters, which then evolves into the entrepreneurial opportunities for nurses. This text is an essential introduction for all practicing nurses, nurse leaders, and nurses teaching health IT or informatics courses. Key Features: Written by Nurses for Nurses The latest information on emerging Health Information Technology and associated Nursing Implications Compelling cases show the dramatic effect of innovations on value-based care Learn how applying novel technologies can improve patient care

Machine Intelligence for Healthcare Book

Machine Intelligence for Healthcare


  • Author : Francis X. Campion
  • Publisher :
  • Release Date : 2017-02-02
  • Genre: Artificial intelligence
  • Pages : 346
  • ISBN 10 : 1542924944

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Machine Intelligence for Healthcare Book Description :

Machine Intelligence for Healthcare is a must read for physician leaders, health insurance executives, clinical researchers, public health officials, data scientists and software engineers seeking to understand this pivotal innovation in the information revolution in healthcare. MI for Healthcare provides a detailed introduction of Machine Intelligence, then takes the reader on a journey through the basics of machine learning, topological data analysis and applications of machine intelligence software for healthcare and life sciences. Over 20 case studies cover topics related to clinical variation analysis, hospital clinical pathways, population health management, genetic analysis, precision medicine, healthcare revenue cycle, and payment integrity. The book includes a detailed introduction of the mathematics of topology and concepts of machine learning algorithms. This provides an understanding for the central role which machine intelligence software is now playing in the emergence of the "learning healthcare system" and success in the new world of value-based healthcare delivery.

Demystifying Big Data and Machine Learning for Healthcare Book

Demystifying Big Data and Machine Learning for Healthcare


  • Author : Prashant Natarajan
  • Publisher : CRC Press
  • Release Date : 2017-02-15
  • Genre: Medical
  • Pages : 210
  • ISBN 10 : 9781315389318

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Demystifying Big Data and Machine Learning for Healthcare Book Description :

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

eHealth Book

eHealth


  • Author : Thomas F. Heston
  • Publisher : BoD – Books on Demand
  • Release Date : 2018-08-01
  • Genre: Health & Fitness
  • Pages : 184
  • ISBN 10 : 9781789235227

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eHealth Book Description :

eHealth has revolutionized health care and the practice of medicine. Internet technologies have given the most rural communities access to healthcare services, and automated computer algorithms are improving medical diagnoses and speeding up the delivery of care. Handheld apps, wearable devices, and artificial intelligence lead the way, creating a global healthcare solution that is smarter and more accessible. Read what leaders in the field are doing to advance the use of electronic technology to improve global health.

Precision Medicine Powered by pHealth and Connected Health Book

Precision Medicine Powered by pHealth and Connected Health


  • Author : Nicos Maglaveras
  • Publisher : Springer
  • Release Date : 2017-11-16
  • Genre: Technology & Engineering
  • Pages : 269
  • ISBN 10 : 9789811074196

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Precision Medicine Powered by pHealth and Connected Health Book Description :

This volume presents the proceedings of the 3rd ICBHI which took place in Thessaloniki on 18-21 November, 2017.The area of biomedical and health informatics is exploding at all scales. The developments in the areas of medical devices, eHealth and personalized health as enabling factors for the evolution of precision medicine are quickly developing and demand the development of new scaling tools, integration frameworks and methodologies.

Reinventing Clinical Decision Support Book

Reinventing Clinical Decision Support


  • Author : Paul Cerrato
  • Publisher : Taylor & Francis
  • Release Date : 2020-01-15
  • Genre: Business & Economics
  • Pages : 166
  • ISBN 10 : 9781000055559

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Reinventing Clinical Decision Support Book Description :

This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next genera

The Patient Equation Book

The Patient Equation


  • Author : Glen de Vries
  • Publisher : John Wiley & Sons
  • Release Date : 2020-09-16
  • Genre: Medical
  • Pages : 288
  • ISBN 10 : 9781119622147

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The Patient Equation Book Description :

How the data revolution is transforming biotech and health care, especially in the wake of COVID-19—and why you can’t afford to let it pass you by We are living through a time when the digitization of health and medicine is becoming a reality, with new abilities to improve outcomes for patients as well as the efficiency and success of the organizations that serve them. In The Patient Equation, Glen de Vries presents the history and current state of life sciences and health care as well as crucial insights and strategies to help scientists, physicians, executives, and patients survive and thrive, with an eye toward how COVID-19 has accelerated the need for change. One of the biggest challenges facing biotech, pharma, and medical device companies today is how to integrate new knowledge, new data, and new technologies to get the right treatments to the right patients at precisely the right times—made even more profound in the midst of a pandemic and in the years to come. Drawing on the fascinating stories of businesses and individuals that are already making inroads—from a fertility-tracking bracelet changing the game for couples looking to get pregnant, to an entrepreneur reinventing the treatment of diabetes, to Medidata's own work bringing clinical trials into the 21st century—de Vries shares the breakthroughs, approaches, and practical business techniques that will allow companies to stay ahead of the curve and deliver solutions faster, cheaper, and more successfully—while still upholding the principles of traditional therapeutic medicine and reflecting the current environment. How new approaches to cancer and rare diseases are leading the way toward precision medicine What data and digital technologies enable in the building of robust, effective disease management platforms Why value-based reimbursement is changing the business of life sciences How the right alignment of incentives will improve outcomes at every stage of the patient journey Whether you

Frontiers in Psychiatry Book

Frontiers in Psychiatry


  • Author : Yong-Ku Kim
  • Publisher : Springer Nature
  • Release Date : 2019-11-09
  • Genre: Science
  • Pages : 641
  • ISBN 10 : 9789813297210

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Frontiers in Psychiatry Book Description :

This book reviews key recent advances and new frontiers within psychiatric research and clinical practice. These advances either represent or are enabling paradigm shifts in the discipline and are influencing how we observe, derive and test hypotheses, and intervene. Progress in information technology is allowing the collection of scattered, fragmented data and the discovery of hidden meanings from stored data, and the impacts on psychiatry are fully explored. Detailed attention is also paid to the applications of artificial intelligence, machine learning, and data science technology in psychiatry and to their role in the development of new hypotheses, which in turn promise to lead to new discoveries and treatments. Emerging research methods for precision medicine are discussed, as are a variety of novel theoretical frameworks for research, such as theoretical psychiatry, the developmental approach to the definition of psychopathology, and the theory of constructed emotion. The concluding section considers novel interventions and treatment avenues, including psychobiotics, the use of neuromodulation to augment cognitive control of emotion, and the role of the telomere-telomerase system in psychopharmacological interventions.