Biomedical Translational Research

This book, which is the third volume of Biomedical translational research, focuses on the fundamental role of biomedical research in developing new medicinal products. It emphasizes the importance of understanding biological and pathophysiological mechanisms underlying the disease to discover and develop new biological agents. The book uniquely explores the genomic computational integrative approach for drug repositioning. Further, it discusses the health benefits of nutraceuticals and their application in human diseases. Further, the book comprehensively reviews different computational approaches that employ GWAS data to guide drug repositioning. Finally, it summarizes the major challenges in drug development and the strategies for the rational design of the next generation more effective but less toxic therapeutic agents.

This book, which is the first volume of Biomedical Translational Research, summarizes emerging technologies in healthcare. The book reviews the advancements in biomedical sciences in genomics, immunology, stem cell, tissue engineering, nanotechnology, computational and structural biology, biomedical engineering, and telemedicine biology. The book highlights the applications of artificial intelligence in the diagnosis of infectious diseases and examines the role of system biology approaches for understanding human complexity, variability, and its influence on health and diseases. It presents the applications of flow cytometry in monitoring the progression and treatment of disease. It covers emerging technologies in cancer research, including CRISPR-Cas9, NGS, and nanotechnology. This book is a useful source of information for clinical researchers, basic scientists, biomedical engineers, and computational biologists.

Principles of Translational Science in Medicine: From Bench to Bedside, Second Edition, provides an update on major achievements in the translation of research into medically relevant results and therapeutics. The book presents a thorough discussion of biomarkers, early human trials, and networking models, and includes institutional and industrial support systems. It also covers algorithms that have influenced all major areas of biomedical research in recent years, resulting in an increasing numbers of new chemical/biological entities (NCEs or NBEs) as shown in FDA statistics. The book is ideal for use as a guide for biomedical scientists to establish a systematic approach to translational medicine. Provides an in-depth description of novel tools for the assessment of translatability of trials to balance risk and improve projects at any given stage of product development New chapters deal with translational issues in the fastest growing population (the elderly), case studies, translatability assessment tools, and advances in nanotherapies Details IPR issues of translation, especially for public-private-partnerships Contains contributions from world leaders in translational medicine, including the former NIH director and authorities from various European regulatory institutions

This book is all about the definition and finding ways to prioritize and accelerate translation research in biomedical sciences and rapidly turning new knowledge into first-in-human studies. It represents an effort to bring together scientists active in various areas of translational research to share science and, hopefully, generate new ideas and potential collaborations. The book provides a comprehensive overview of translational work that includes significant discoveries and pioneering contributions, e.g., in immunology, gene therapy, stem cells and population sciences. It may be used as an advanced textbook by graduate students and even ambitious undergraduates in biomedical sciences. It is also suitable for non-experts, i.e. medical doctors, who wish to have an overview of some of the fundamental models in translational research. Managing the translational enterprise remains a work in progress. The world is changing rapidly, and the scientific world needs to seek new ways to ensure that discoveries get translated for patients efficiently and as quickly as possible. In addition, everyone expects the investment in biomedical research should pay dividends through effective therapeutic solutions. This unique project provides a broad collaborative approach of the international scientific team to present its view and opinion how to cross barriers to incentives for translational research in medical sciences. Contributing to the book is an international team of prominent co-authors. The book consists of unique and widely treated topics, and includes new hypotheses, data and analyses. Sample Chapter(s). Foreword (41 KB). Chapter 1: Translational Research: Lost in Complexity (305 KB). Contents: Barriers to Incentives for Translational Research; Integrating Emerging Science into Clinical Practice; Organization, Prioritization, Review and Funding for the Translational Research; Translational Sciences in Cancer Research; Translational Science in Infectious Diseases; Translation Research in Endocrinology and Nutrition; Translation Research and Neuroscience; Stem Cells and Translation Research; The Role of Translational Research in Public Health and Behavioral Sciences; Translational Epidemiology, Biostatistics and Informatics; Translational Research Outcomes and Resources. Readership: Graduate students and researchers in cancer research, pharmacology/drug discovery/pharmaceuticals, immunology, infectious diseases and public health.

Are we satisfied with the rate of drug development? Are we happy with the drugs that come to market? Are we getting our money s worth in spending for basic biomedical research? In Translational Systems Biology, Drs. Yoram Vodovotz and Gary An address these questions by providing a foundational description the barriers facing biomedical research today and the immediate future, and how these barriers could be overcome through the adoption of a robust and scalable approach that will form the underpinning of biomedical research for the future. By using a combination of essays providing the intellectual basis of the Translational Dilemma and reports of examples in the study of inflammation, the content of Translational Systems Biology will remain relevant as technology and knowledge advances bring broad translational applicability to other diseases. Translational systems biology is an integrated, multi-scale, evidence-based approach that combines laboratory, clinical and computational methods with an explicit goal of developing effective means of control of biological processes for improving human health and rapid clinical application. This comprehensive approach to date has been utilized for in silico studies of sepsis, trauma, hemorrhage, and traumatic brain injury, acute liver failure, wound healing, and inflammation. Provides an explicit, reasoned, and systematic approach to dealing with the challenges of translational science across disciplines Establishes the case for including computational modeling at all stages of biomedical research and healthcare delivery, from early pre-clinical studies to long-term care, by clearly delineating efficiency and costs saving important to business investment Guides readers on how to communicate across domains and disciplines, particularly between biologists and computational researchers, to effectively develop multi- and trans-disciplinary research teams "

The main objective of translational health science is to concentrate on discovering healthcare products for all people where care gaps exist. This book examines the applications of translational research, identifies its difficulties, outlines its essential characteristics, considers healthcare management strategies, and examines the public's perspectives today. This book assists aspiring implementation scientists in researching this area because the discipline is still relatively young for the wide range of researchers tackling the challenge of clinical and translational science, a field dedicated to examining human health and disease, interventions, and outcomes to develop new treatment approaches, devices, and modalities to improve health. This book Edition is the most authoritative and timely resource that introduces new physiological and therapeutic processes to engage the fastest-growing scientific outcomes from academic and industrial research. The chapters in this book give insights into perspectives on the field of clinical and translational science and discuss artificial intelligence in drug development and conventional and novel clinical trial designs. There is a lot of hope that using artificial intelligence (AI) will significantly advance all facets of healthcare, from diagnosis to therapy. AI is prepared to assist medical staff with various duties, including administrative workflow, clinical documentation, patient outreach, and specialist support like image analysis, medical device automation, and patient monitoring. Some of the most important uses of AI in healthcare will be covered in this book by eminent Scientists, Academicians, and Industrial persons from both clinical and non-clinical fields.

This book introduces readers to essential methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for future translational research. The paradigm for precision medicine and healthcare needs to integratively analyze not only the data at the same level – e.g. different omics data at the molecular level – but also data from different levels – the molecular, cellular, tissue, clinical and public health level. This book discusses the following major aspects: the structure of cross-level data; clinical patient information and its shareability; and standardization and privacy. It offers a valuable guide for all biologists, biomedical informaticians and clinicians with an interest in Precision Medicine Informatics.

This trailblazing resource on biomedical informatics provides medical researchers with innovative techniques for integrating and federating data from clinical and molecular studies. This volume helps researchers manage data, expedite their efforts, and make the most of targeted basic research.