Precision Nutrition: The Science and Promise of Personalized Nutrition and Health organizes and integrates information on the diverse special areas of scientific expertise involved in Precision Nutrition in order to inform health professionals and inspire researchers to advance this field while applying the general principles into health care and medical research now. Broken into three sections, this book addresses the fundamentals of precision nutrition, applications of precision nutrition in health and disease, and the future directions of precision nutrition. Nutrition scientists, geneticists, physicians, dietitians, postdoctoral fellows, and epidemiologists seeking to understand Precision Nutrition will benefit from this timely reference. . - Applies precision nutrition to diet and lifestyle conditions, including heart disease, diabetes and cancer - Identifies future aspects of precision nutrition utilizing AI, machine learning and superfast computers - Outlines promising areas of research

Traditional patient care and treatment approaches often lack the personalized and interactive elements necessary for effective healthcare delivery. This means that the healthcare industry must find innovative solutions to improve patient outcomes, enhance rehabilitation processes, and optimize resource utilization. There is a gap between the traditional approach and the need for innovation that highlights the importance of a comprehensive understanding of emerging technologies, including Kinect Sensor technology, and the potential to transform healthcare practices with this tech. Revolutionizing Healthcare Treatment With Sensor Technology addresses this critical need by thoroughly exploring how Kinect Sensor technology can revolutionize patient care and treatment methodologies. By repurposing and customizing Kinect Sensor for healthcare applications, this book showcases how depth-sensing cameras, infrared sensors, and advanced motion tracking can capture and interpret real-time patient movements and interactions. This book is ideal for healthcare professionals, hospital administrators, researchers, patients, caregivers, and healthcare technology developers seeking to leverage Kinect Sensor technology for enhanced healthcare delivery. Through detailed case studies and practical examples, experts can learn how to integrate Kinect Sensor into various medical settings to gain valuable insights into patients' physical capabilities, monitor their progress, and create personalized treatment plans.

Health technologies for personalized medicine have become important enablers for monitoring and treatment in both inpatient and outpatient care. The benefits of these technologies lead not only to improvements in medical services quality for all stakeholders, but also to new healthcare business models, promising a better containment of healthcare costs. This book presents the proceedings of the 2013 pHealth Conference, held in Tallinn, Estonia, in June 2013. The pHealth conferences have established themselves as the leading international conference series on wearable or implantable micro and nanotechnologies for personalized medicine and health service provision. pHealth 2013 proceeds in bringing together a dynamic emerging professional community from Europe and beyond. The keynotes, invited speeches and oral presentations in this book address these wearable technologies, and also other topics such as health games, terminologies and ontologies, medical decision support, monitoring of environmental and living conditions, as well as social and ethical issues. We are at the beginning of what promises to be revolutionary change in healthcare offering significant opportunities for both patients and healthcare providers. This book will therefore be of interest to the entire healthcare industry.

Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. - Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management - Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way - Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies

Integrating scientific knowledge with today's most effective treatment options, Addiction Medicine: Science and Practice, 2nd Edition, provides a wealth of information on addictions to substances and behavioral addictions. It discusses the concrete research on how the brain and body are affected by addictions, improving your understanding of how patients develop addictions and how best to personalize treatment and improve outcomes. This essential text is ideal for anyone who deals with patients with addictions in clinical practice, including psychiatrists, health psychologists, pharmacologists, social workers, drug counselors, trainees, and general physicians/family practitioners. - Clearly explains the role of brain function in drug taking and other habit-forming behaviors, and shows how to apply this biobehavioral framework to the delivery of evidence-based treatment. - Provides clinically relevant details on not only traditional sources of addiction such as cocaine, opiates, and alcohol, but also more recently recognized substances of abuse (e.g., steroids, inhalants) as well as behavioral addictions (e.g., binge eating, compulsive gambling, hoarding). - Discusses current behavioral and medical therapies in depth, while also addressing social contexts that may affect personalized treatment. - Contains new information on compliance-enhancing interventions, cognitive behavioral treatments, behavioral management, and other psychosocial interventions. - Includes neurobiological, molecular, and behavioral theories of addiction, and includes a section on epigenetics. - Contains up-to-date information throughout, including a new definition of status epilepticus, a current overview of Lennox Gastaut syndrome, and updates on new FDA-approved drugs for pediatric neurological disorders. - Features expanded sections on evidence-based treatment options including pharmacotherapy, pharmacogenetics, and potential vaccines. - Addresses addiction in regards to specific populations, including adolescents, geriatric, pregnant women, and health care professionals. - Includes contributions from expert international authors, making this a truly global reference to addiction medicine.

In the tumultuous period of Industrial Revolution 5.0, a pressing challenge confronts our global community: exploring the intricate interplay between technology, education, and renewable energy. As we stand at the cusp of transformative change, the relentless pace of technological evolution, coupled with the imperative to foster sustainable practices, demands a profound understanding of the synergies and challenges inherent in this dynamic landscape. Utilizing Renewable Energy, Technology, and Education for Industry 5.0 emerges as a compelling solution, offering a comprehensive guide tailored for academic scholars seeking clarity amidst the complexities of this revolutionary wave. The rapid convergence of technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and automation, alongside the critical need for renewable energy integration and a paradigm shift in education, presents a multifaceted challenge. Industry leaders grapple with the transformation of processes, educators seek to align curricula with the demands of Industry 5.0, and environmental advocates strive for sustainable solutions. This intricate dance of innovation, education reform, and environmental consciousness requires a comprehensive approach to unraveling complexities, fostering collaboration, and navigating ethical considerations.

While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE). This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide.