Translational Neurosurgery

Adam E.M. Eltorai · Jeffrey A. Bakal · Maleeha Ahmad

2025年11月 · Elsevier

電子書

608

頁

符合資格

關於本電子書

Translational Neurosurgery provides a comprehensive overview reflecting the depth and breadth of the field of translational research focused on neurosurgery, with input from a distinguished team of basic and clinical investigators. It covers the principles of evidence-based medicine and applies these principles to the design of translational investigations, helping researchers navigate challenging considerations in study design and implementation. This book is a valuable resource for neurosurgeons and neurosurgery investigators who want to understand more about translational research, and also for basic scientists interested in translating their research into clinical practice. - Focuses on the principles of evidence-based medicine and applies these principles to the design of translational investigations within neurosurgery - 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 neurosurgery and provides specific examples from the recent literature

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關於作者

Dr 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.

Dr. Bakal 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. He also leads the Health Service Statistical and Analytics Methods teams. Over 10 years, he has worked with health services data, including randomized clinical trials. He completed his PhD jointly through the Department of Mathematics and Statistics and the School of Physical Health and Education at Queen’s University. His work includes methodological contributions and analyses supporting international studies spanning business strategy, ophthalmology, cardiology, and geriatric medicine, as well as analyses of kinematic data, through peer-reviewed publications and conference presentations. Current interests include developing statistical methodology for time-to-event data and building classification tools to support patient decision-making processes.