Translational Medicine Tools And Techniques

Translational Medicine: Tools and Techniques provides a standardized path from basic research to the clinic and brings together various policy and practice issues to simplify the broad interdisciplinary field. With discussions from academic and industry leaders at international institutions who have successfully implemented translational medicine techniques and tools in various settings, readers will be guided through implementation strategies relevant to their own needs and institutions. The book also addresses regulatory processes in USA, EU, Japan and China. By providing details on omics sciences techniques, biomarkers, data mining and management approaches, case reports from industry, and tools to assess the value of different technologies and techniques, this book is the first to provide a user-friendly go-to guide for key opinion leaders (KOLs), industry administrators, faculty members, clinicians, researchers, and students interested in translational medicine. Includes detailed and standardized information about the techniques and tools used in translational medicine Provides specific industry case scenarios Explains how to use translational medicine tools and techniques to plan and improve infrastructures and capabilities while reducing cost and optimizing resources

Examines Critical Decisions for Transitioning Lab Science to a Clinical Setting The development of therapeutic pharmaceutical compounds is becoming more expensive, and the success rates for getting such treatments approved for marketing and to the patients is decreasing. As a result, translational medicine (TM) is becoming increasingly important in the healthcare industry – a means of maximizing the consideration and use of information collected as compounds transition from initial lab discovery, through pre-clinical testing, early clinical trials, and late confirmatory studies that lead to regulatory approval of drug release to patients. Translational Medicine: Strategies and Statistical Methods suggests a process for transitioning from the initial lab discovery to the patient’s bedside with minimal disconnect and offers a comprehensive review of statistical design and methodology commonly employed in this bench-to-bedside research. Documents Alternative Research Approaches for Faster and More Accurate Data Judgment Calls Elaborating on how to introduce TM into clinical studies, this authoritative work presents a keen approach to building, executing, and validating statistical models that consider data from various phases of development. It also delineates a truly translational example to help bolster understanding of discussed concepts. This comprehensive guide effectively demonstrates how to overcome obstacles related to successful TM practice. It contains invaluable information for pharmaceutical scientists, research executives, clinicians, and biostatisticians looking to expedite successful implementation of this important process.

Clinical and Translational Science: Principles of Human Research, Second Edition, is the most authoritative and timely resource for the broad range of investigators taking on the challenge of clinical and translational science, a field that is devoted to investigating human health and disease, interventions, and outcomes for the purposes of developing new treatment approaches, devices, and modalities to improve health. This updated second edition has been prepared with an international perspective, beginning with fundamental principles, experimental design, epidemiology, traditional and new biostatistical approaches, and investigative tools. It presents complete instruction and guidance from fundamental principles, approaches, and infrastructure, especially for human genetics and genomics, human pharmacology, research in special populations, the societal context of human research, and the future of human research. The book moves on to discuss legal, social, and ethical issues, and concludes with a discussion of future prospects, providing readers with a comprehensive view of this rapidly developing area of science. Introduces novel physiological and therapeutic strategies for engaging the fastest growing scientific field in both the private sector and academic medicine Brings insights from international leaders into the discipline of clinical and translational science Addresses drug discovery, drug repurposing and development, innovative and improved approaches to go/no-go decisions in drug development, and traditional and innovative clinical trial designs

This volume is a comprehensive textbook for investigators entering the rapidly growing field of translational and experimental clinical research. The book offers detailed guidelines for designing and conducting a study and analyzing and reporting results and discusses key ethical and regulatory issues. Chapters address specific types of studies such as clinical experiments in small numbers of patients, pharmacokinetics and pharmacodynamics, and gene therapy and pharmacogenomic studies. A major section describes modern techniques of translational clinical research, including gene expression, identifying mutations and polymorphisms, cloning, transcriptional profiling, proteomics, cell and tissue imaging, tissue banking, evaluating substrate metabolism, and in vivo imaging.

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine. Through the description of important cutting-edge technologies in bioinformatics and systems biology, readers may gain an essential understanding of state-of-the-art methodologies. The book discusses topics such as the challenges and tasks in translational bioinformatics; pharmacogenomics, systems biology, and personalized medicine; and the applicability of translational bioinformatics for biomarker discovery, epigenomics, and molecular dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and clinical applications, this book is suitable for a wide range of readers who may not be scientists but who are also interested in the practice of personalized medicine. Introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine Presents a problem-solving oriented methodology to deal with practical problems in various applications Covers both basic scientific and clinical applications in order to enhance the collaboration between researchers and clinicians Brings integrative and multidisciplinary approaches to bridge the gaps among various knowledge domains in the field

Translational Research and Clinical Practice offers a clear and comprehensive introduction to evidence-based medicine. The use of medical literature has always been an integral tool for patient care, yet recently the modern processes of question formulation, literature search, and study evaluation have changed with the advent of the internet and technology. The physician must be able to find empirical evidence from the appropriate study using a searchable question and then determine its impact on patient care. The book provides the general framework for such medical decision making; it covers all kinds of cases and strategies, including questions of diagnosis, therapy, prognosis, differential diagnosis, clinical presentation, and causality.The tested material and approaches in this book are based on a course developed and taught by the author at Temple University School of Medicine. Organized for ease of use, accessibly written, and replete with clinically germane examples, Translational Research and Clinical Practice is a concise guide for medical students and clinicians seeking to effectively interpret and apply medical evidence in daily practice.

This book aims to aid the selection of the most appropriate methods for use in early phase (1 and 2) clinical studies of new drugs for diabetes, obesity, non-alcoholic fatty liver disease (NAFLD) and related cardiometabolic disorders. Clinical research methods to assess the pharmacokinetics and pharmacodynamics of new diabetes drugs, e.g. the euglycemic clamp technique, have become well-established in proof-of-mechanism studies. However, selection of the most appropriate techniques is by no means straightforward. Moreover, the application of such methods must conform to the regulatory requirements for new drugs. This book discusses the need for new pharmacotherapies for diabetes, obesity and NAFLD and the molecular targets of drugs currently in development. Emerging technologies including functional imaging, circulating biomarkers and omics are considered together with practical and ethical issues pertaining to early phase clinical trials in subjects with cardiometabolic disorders. Translational Research Methods in Diabetes, Obesity, and Non-Alcoholic Fatty Liver Disease is of interest to biomedical scientists, pharmacologists, academics involved in metabolic research and clinicians practicing in these specialties.

The world is beset by a pandemic of obesity and type 2 diabetes and the need for new drugs is startlingly clear; recent years have seen a huge increase in research activity to fill this gap. The development of new drugs for diabetes and obesity must be founded upon a sound appreciation of the pathophysiology of these common disorders. The dual defects of insulin resistance and impaired insulin secretion are fundamental to the pathogenesis and progression of obesity-associated type 2 diabetes. There is a need to explain how new drugs can counter insulin resistance and insulin deficiency to a broad range of professionals, from clinical scientists active in early (and later) phase drug development to specialist physicians and increasingly primary care doctors who must tailor drug regimens to the individual patient. Clinical research methods for measuring insulin action and insulin secretion have become well-established in proof-of-mechanism studies; however, selection of the best techniques is by no means straightforward. The purpose of the book is to aid the selection of the most appropriate techniques for assessing insulin action, insulin secretion and body composition in humans (with particular reference to new drugs) in phase 1 and 2 studies and aid the understanding of drug effects and non-drug treatment strategies on key biochemical-hormonal defects of obesity and type 2 diabetes. The book will assume a working knowledge of human physiology relating to glucose metabolism and will be of interest to biomedical scientists, pharmacologists, academics involved in metabolic research and clinicians practicing in these specialties.