Translational Pulmonology

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· Elsevier
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この電子書籍について

Translational research is essential to the advancement of medicine. Translational Pulmonology is an instructional guide to translational medical research serves as a practical, step-by-step roadmap for taking a biomedical device, potential therapeutic agent, or research question from idea through demonstrated clinical benefit. Fundamentally, the volume aims to help bridge the gap between current research and practice. Written by a team of expert medical, biomedical engineering, and clinical research experts in pulmonary diseases, this volume provides a clear process for understanding, designing, executing, and analyzing clinical and translational research within the field. - Focusing on translational pulmonary diseases research, this volume covers the principles of evidence-based medicine and applies these principles to the design of translational investigations - Provides a practical, straightforward approach that will help the aspiring pulmonary researchers and pulmonologists navigate challenging considerations in study design and implementation - Details valuable discussions of the critical appraisal of published studies in pulmonary, allowing the reader to learn how to evaluate the quality of such studies with respect to measuring outcomes and to make effective use of all types of evidence in patient care

著者について

Davis Hartnett, MD completed his medical degree at the Warren Alpert Medical School of Brown University and is a resident physician at Brigham and Women’s Hospital in Boston, Massachusetts in the Department of Internal Medicine. He has contributed to over 40 peer reviewed publications and over 30 academic presentations on research topics including medicolegal outcomes, healthcare access disparities, and translational medicine.

Jeff Bakal PhD, P.Stat. is the Program Director for Provincial Research Data Services at Alberta Health Services which operates the Alberta Strategy for Patient Oriented Research (SPOR) data platform and Health Service Statistical & Analytics Methods teams. He has over 10 years of experience working with Health Services data and Randomized Clinical Trials. He completed his PhD jointly with the Department of Mathematics and Statistics and the School of Physical Health and Education at Queen's University. He has worked on the methodology and analysis of several international studies in business strategy, ophthalmology, cardiology, geriatric medicine and the analysis of kinematic data resulting in several peer reviewed articles and conference presentations. His current interests are in developing statistical methodology for time-to-event data and the development of classification tools to assist in patient decision making processes.

Adam E. M. Eltorai, MD, PhD completed his graduate studies in Biomedical Engineering and Biotechnology along with his medical degree from Brown University. His work has spanned the translational spectrum with a focus on medical technology innovation and development. Dr. Eltorai has published numerous articles and books.

Larisa Tereshchenko is an Associate Professor of Medicine at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University and an Adjunct Associate Professor of Electrical Engineering and Computer Science at the Cleveland State University. She has a broad background in clinical investigation, cardiology, cardiac electrophysiology and electrocardiology, biomedical engineering, biophysics, randomized controlled trials, epidemiology, biostatistics, bioinformatics, and genomics. Over the past two decades, she has led clinical studies, including randomized controlled trials, cohort, and case-control studies, and has expertise in multicenter and multidisciplinary research leadership, the building of collaborative groups, and multicohort epidemiological studies. She is an author of more than 160 original peer-reviewed manuscripts, chapters, and reviews.

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