The management of movement disorders is undergoing rapid transformation through the use of innovative health technologies, such as wearable sensors, mobile apps, robotics, and telemedicine systems. These technologies continue to evolve, providing new solutions for early diagnosis, remote monitoring, tailored treatments, and enhanced rehabilitative strategies that cater to individual needs through personalized approaches. With the aid of new health technologies, motor abnormalities can be sensitively recognized and objectively assessed, providing quantifiable measures to detect subtle changes associated with treatment response and disease progression. Moreover, long-term instrumental monitoring offers the opportunity for improving therapeutic strategies by gathering ecological data directly at patients’ homes in free-living situations.

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

Wearable Technology in Medicine and Health Care provides readers with the most current research and information on the clinical and biomedical applications of wearable technology. Wearable devices provide applicability and convenience beyond many other means of technical interface and can include varying applications, such as personal entertainment, social communications and personalized health and fitness. The book covers the rapidly expanding development of wearable systems, thus enabling clinical and medical applications, such as disease management and rehabilitation. Final chapters discuss the challenges inherent to these rapidly evolving technologies. - Provides state-of-the-art coverage of the latest advances in wearable technology and devices in healthcare and medicine - Presents the main applications and challenges in the biomedical implementation of wearable devices - Includes examples of wearable sensor technology used for health monitoring, such as the use of wearables for continuous monitoring of human vital signs, e.g. heart rate, respiratory rate, energy expenditure, blood pressure and blood glucose, etc. - Covers examples of wearables for early diagnosis of diseases, prevention of chronic conditions, improved clinical management of neurodegenerative conditions, and prompt response to emergency situations

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

Inside today's data-driven personalized medicine, and the time, effort, and information required from patients to make it a reality Medicine has been personal long before the concept of “personalized medicine” became popular. Health professionals have always taken into consideration the individual characteristics of their patients when diagnosing, and treating them. Patients have cared for themselves and for each other, contributed to medical research, and advocated for new treatments. Given this history, why has the notion of personalized medicine gained so much traction at the beginning of the new millennium? Personalized Medicine investigates the recent movement for patients’ involvement in how they are treated, diagnosed, and medicated; a movement that accompanies the increasingly popular idea that people should be proactive, well-informed participants in their own healthcare. While it is often the case that participatory practices in medicine are celebrated as instances of patient empowerment or, alternatively, are dismissed as cases of patient exploitation, Barbara Prainsack challenges these views to illustrate how personalized medicine can give rise to a technology-focused individualism, yet also present new opportunities to strengthen solidarity. Facing the future, this book reveals how medicine informed by digital, quantified, and computable information is already changing the personalization movement, providing a contemporary twist on how medical symptoms or ailments are shared and discussed in society. Bringing together empirical work and critical scholarship from medicine, public health, data governance, bioethics, and digital sociology, Personalized Medicine analyzes the challenges of personalization driven by patient work and data. This compelling volume proposes an understanding that uses novel technological practices to foreground the needs and interests of patients, instead of being ruled by them.

What happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking. People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experience—in particular, health and wellness-related experience—into data, and offer an introduction to the essential ideas and key challenges of using these technologies. They consider self-tracking as a social and cultural phenomenon, describing not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others. Neff and Nafus consider what's at stake: who wants our data and why; the practices of serious self-tracking enthusiasts; the design of commercial self-tracking technology; and how self-tracking can fill gaps in the healthcare system. Today, no one can lead an entirely untracked life. Neff and Nafus show us how to use data in a way that empowers and educates.

Motivated by the explosion of molecular data on humans-particularly data associated with individual patients-and the sense that there are large, as-yet-untapped opportunities to use this data to improve health outcomes, Toward Precision Medicine explores the feasibility and need for "a new taxonomy of human disease based on molecular biology" and develops a potential framework for creating one. The book says that a new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of diseases and ultimately enhance diagnosis and treatment. The "new taxonomy" that emerges would define diseases by their underlying molecular causes and other factors in addition to their traditional physical signs and symptoms. The book adds that the new data network could also improve biomedical research by enabling scientists to access patients' information during treatment while still protecting their rights. This would allow the marriage of molecular research and clinical data at the point of care, as opposed to research information continuing to reside primarily in academia. Toward Precision Medicine notes that moving toward individualized medicine requires that researchers and health care providers have access to very large sets of health- and disease-related data linked to individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new taxonomy.

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

"This is a wonderful resource for nurses and other healthcare professionals providing care for patients with Parkinson's Disease (PD)Ö.This unique book provides readers with access to multiple experts in the field and a wide variety of pertinent topics in the care of patients with PD. This is an excellent addition to the field and will be extremely useful for interdisciplinary teams caring for these patients." Score: 100, 5 stars --Doody's The incidence of Parkinson's is growing as the number of older adults making up the general population increases. The demand for nurses who specialize in the care of patients with movement disorders is also increasing and it is crucial that they have a comprehensive manual for patient care. Lisette Bunting-Perry and Gwyn Vernon have years of experience working with Parkinson's patients and have put together a team of internationally renowned clinicians who provide a truly comprehensive review of the information you need for the care of patients with this complex clinical profile. Comprehensive Nursing Care for Parkinson's Disease covers what is presently known about the disease and current evidence-based standards of care, including management through deep brain stimulation, palliative care for frail older adults with Parkinson's, medication management, nonmotor complications and psychosocial issues, and complementary and alternative approaches. This is an indispensable bedside companion in caring for those with Parkinson's as well as a much needed catalyst for the evaluation of future patient needs and the further development of comprehensive models of care.

This groundbreaking volume is the first text devoted to psychogenic movement disorders. Co-published by Lippincott Williams & Wilkins and the American Academy of Neurology, the book contains the highlights of an international, multidisciplinary conference on these disorders and features contributions from leading neurologists, psychiatrists, psychologists, physiatrists, and basic scientists. Major sections discuss the phenomenology of psychogenic movement disorders from both the neurologist's and the psychiatrist's viewpoint. Subsequent sections examine recent findings on pathophysiology and describe current diagnostic techniques and therapies. Also included are abstracts of 16 seminal free communications presented at the conference.