Precision Psychiatry
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| Author | : Leanne M. Williams, Ph.D. |
| Publisher | : American Psychiatric Pub |
| Total Pages | : 302 |
| Release | : 2021-10-15 |
| Genre | : Medical |
| ISBN | : 1615371583 |
Precision psychiatry, as outlined in this groundbreaking book, presents a new path forward. By integrating findings from basic and clinical neuroscience, clinical practice, and population-level data, the field seeks to develop therapeutic approaches tailored for specific individuals with a specific constellation of health issues, characteristics, strengths, and symptoms.
| Author | : Yong-Ku Kim |
| Publisher | : Springer Nature |
| Total Pages | : 641 |
| Release | : 2019-11-09 |
| Genre | : Science |
| ISBN | : 9813297212 |
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.
| Author | : Bernhard Baune |
| Publisher | : Academic Press |
| Total Pages | : 604 |
| Release | : 2019-10-16 |
| Genre | : Medical |
| ISBN | : 0128131772 |
Personalized Psychiatry presents the first book to explore this novel field of biological psychiatry that covers both basic science research and its translational applications. The book conceptualizes personalized psychiatry and provides state-of-the-art knowledge on biological and neuroscience methodologies, all while integrating clinical phenomenology relevant to personalized psychiatry and discussing important principles and potential models. It is essential reading for advanced students and neuroscience and psychiatry researchers who are investigating the prevention and treatment of mental disorders. Combines neurobiology with basic science methodologies in genomics, epigenomics and transcriptomics Demonstrates how the statistical modeling of interacting biological and clinical information could transform the future of psychiatry Addresses fundamental questions and requirements for personalized psychiatry from a basic research and translational perspective
| Author | : Brisa S. Fernandes |
| Publisher | : Frontiers Media SA |
| Total Pages | : 237 |
| Release | : 2020-04-24 |
| Genre | : |
| ISBN | : 2889636615 |
| Author | : Laura Weiss Roberts, M.D., M.A. |
| Publisher | : American Psychiatric Pub |
| Total Pages | : 1378 |
| Release | : 2019-05-02 |
| Genre | : Medical |
| ISBN | : 1615371508 |
The new seventh edition reflects advances in the understanding of the etiology, diagnosis, and treatment of psychiatric disorders as well as the positive, transformational change that has taken place in the field of psychiatry.
| Author | : Joel Faintuch |
| Publisher | : Academic Press |
| Total Pages | : 640 |
| Release | : 2019-11-16 |
| Genre | : Science |
| ISBN | : 0128191791 |
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
| Author | : Yong-Ku Kim |
| Publisher | : Springer Nature |
| Total Pages | : 555 |
| Release | : 2021-04-08 |
| Genre | : Medical |
| ISBN | : 9813360445 |
This book reviews all aspects of major depressive disorder (MDD), casting light on its neurobiological underpinnings and describing the most recent advances in management. The book is divided into four sections, the first of which discusses MDD from a network science perspective, highlighting the alterations in functional and structural connectivity and presenting insights achieved through resting state functional MRI and the development of neuroimaging-based biomarkers. The second section examines important diagnostic and neurobiological issues, while the third considers the currently available specific treatments for MDD, including biofeedback, neurofeedback, cognitive behavioral therapy, acceptance and commitment therapy, neuromodulation therapy, psychodynamic therapy, and complementary and alternative medicine. A concluding section is devoted to promising emerging treatments, from novel psychopharmacological therapies through to virtual reality treatment, immunotherapy, biomarker-guided tailored therapy, and more. Written by leading experts from across the world, the book will be an excellent source of information for both researchers and practitioners.
| Author | : Terrence Adam |
| Publisher | : Springer Nature |
| Total Pages | : 349 |
| Release | : 2019-09-17 |
| Genre | : Medical |
| ISBN | : 3030186261 |
This book adopts an integrated and workflow-based treatment of the field of personalized and precision medicine (PPM). Outlined within are established, proven and mature workflows as well as emerging and highly-promising opportunities for development. Each workflow is reviewed in terms of its operation and how they are enabled by a multitude of informatics methods and infrastructures. The book goes on to describe which parts are crucial to discovery and which are essential to delivery and how each of these interface and feed into one-another. Personalized and Precision Medicine Informatics provides a comprehensive review of the integrative as well as interpretive nature of the topic and brings together a large body of literature to define the topic and ensure that this is the key reference for the topic. It is an unique contribution that is positioned to be an essential guide for both PPM experts and non-experts, and for both informatics and non-informatics professionals.
| Author | : Clement Hamani |
| Publisher | : John Wiley & Sons |
| Total Pages | : 518 |
| Release | : 2016-01-26 |
| Genre | : Medical |
| ISBN | : 1118801040 |
Edited by an expert multidisciplinary team, Neuromodulation in Psychiatry is the first reference guide to address both invasive and non-invasive neuromodulation strategies used in psychiatry. Covers basic principles, technical aspects, clinical applications and ethical considerations Presents up-to-date evidence in comprehensive summaries suitable for all levels of experience Each technique is clearly explained along with its implications for real-world clinical practice Allows psychiatrists to make informed decisions regarding neuromodulation for their patients
| Author | : Ahmed Moustafa |
| Publisher | : Academic Press |
| Total Pages | : 386 |
| Release | : 2021-06-11 |
| Genre | : Medical |
| ISBN | : 0128230029 |
Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders Describes the role machine learning can play in the analysis of big data Demonstrates the various methods of gathering big data in medicine Reviews how to apply big data to genetics
