Biomarkers To Predict Prevent And Find The Appropriate Treatments Of Disorders In Childhood

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 volume addresses one of the Holy Grails in Psychiatry, namely the evidence for and potential to adopt ‘Biomarkers’ for prevention, diagnosis, and treatment responses in mental health conditions. It meshes together state of the art research from international renowned pre-clinical and clinical scientists to illustrate how the fields of anxiety disorders, depression, psychotic disorders, and autism spectrum disorder have advanced in recent years.

Extensively revised from cover to cover, Kendig and Wilmott's Disorders of the Respiratory Tract in Children, 10th Edition, continues to be your #1 choice for reliable, up-to-date information on all aspects of pediatric respiratory disorders. This highly respected reference is accessible to specialists and primary care providers alike, with coverage of both common and less common respiratory problems found in the newborn and child. Detailed and thorough, this edition covers basic science and its relevance to today’s clinical issues as well as treatment, management, and outcomes information, making it an ideal resource for day-to-day practice as well as certification or recertification review and other professional examinations such as pHERMES. Offers an international perspective on the whole spectrum of the specialty, including a robust video library with demonstrations of key procedures and bronchoscopic views. Uses a consistent format with succinct, bulleted text, and contains abundant tables and figures, chapter summaries, and more than 500 full-color images to convey key information in an easy-to-digest manner. Contains eleven new chapters and discusses timely topics such as big data and -omics in respiratory disease, COVID-19, obesity and its consequences, and vaping and nicotine addiction among children and young people. Provides up-to-date instruction on key procedures, such as bronchoscopy and pulmonary function testing. Highlights the knowledge and expertise of nearly 90 new authors who are global experts in the fields of pediatrics, pulmonology, neurology, microbiology, cardiology, physiology, diagnostic imaging, critical care, otolaryngology, allergy, and surgery.

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

As part of the overall disability determination process, the Social Security Administration uses a step-by-step approach to understand how severe an individual's condition is and whether it meets program criteria for disability. The use of various types of biomarkers has been suggested as a way to strengthen the amount and quality of objective evidence available to the review process. At the request of the Social Security Administration, the National Academies of Sciences, Engineering, and Medicine's Board on Health Care Services organized a virtual workshop on July 21, 2020, titled The State of the Science of the Use of Biomarkers to Establish the Presence and Severity of Impairments. Workshop discussions focused on the current and potential uses for biomarkers; explored legal and ethical implications associated with biomarker use in clinical decision making; and considered the possible uses of nongenetic biomarkers as tools for the diagnosis or prognosis of the severity of specific physical and mental impairments. This publication summarizes the presentations and discussion of the workshop.