Translational Plastic Surgery

Adam E.M. Eltorai · Jeffrey A. Bakal · Paul Liu

2026年1月 · Elsevier

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この電子書籍について

Translational Plastic Surgery provides a comprehensive overview reflecting the depth and breadth of the field of translational research focused on plastic surgery, with input from a distinguished team of basic and clinical investigators. The practical, straightforward approach helps the aspiring investigator navigate challenging considerations in study design and implementation. The book provides valuable discussions of the critical appraisal of published studies in translational plastic surgery research, 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 - Focuses on the principles of evidence-based medicine and applies these principles to the design of translational investigations within plastic surgery. - Provides a practical, straightforward approach that helps investigators navigate challenging considerations in study design and implementation. - Includes valuable discussions of the critical appraisal of published studies in translational plastic surgery and provides specific examples from the recent literature.

著者について

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.

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.

Paul Liu, MD, is Chairman of the Division of Plastic and Reconstructive Surgery at Brown University and Professor of Surgery of Brown University. He earned his medical degree from Harvard Medical School and completed his residencies in general and plastic surgery at Brigham and Women’s Hospital. Dr. Liu has extensive basic science research interests including the use of genetic manipulation of the wound environment to speed healing and using mathematical modeling to accelerate the development of new wound therapeutics. Dr. Liu has developed a research collaboration with mathematicians from Oxford, Nottingham, the University of Southern California, as well as scientists in China to accomplish the latter goal. He was recently awarded Top Doctor from Rhode Island Monthly (2019).