Overview

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.

Full Product Details

Author:   Adam E.M. Eltorai (Harvard Medical School, Boston, MA, USA) ,  Jeffrey A. Bakal, PhD (Division General Internal Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton Alberta, Canada) ,  Maleeha Ahmad (UHS and HCA Healthcare Systems, Riverside, California, USA)
Publisher:   Elsevier Science & Technology
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780323905091

ISBN 10:   0323905099
Pages:   350
Publication Date:   05 December 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Section 1: Introduction 1. Translational Process 2. Scientific Method Section 2: Pre-Clinical 4. What problem are you solving? 5. Types of interventions 6. Drug testing 7. Device discovery and prototyping 8. Diagnostic testing 9. Artificial Intelligence Section 3: Statistical Principles 10. Basic statistical principles 11. Distributions 12. Hypotheses and error types 13. Power 14. Continuous variable analyses 15. Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel 16. Analysis of variance 17. Correlation 18. Basic science statistics 19. Sample Size 20. Statistical Software Section 4: Clinical: Study Types 21. Outcome measurements: What data is being collected and why? 22. Case series: Design, measures, classic example 23. Case-control study: Design, measures, classic example 24. Cross-section study: Design, measures, classic example 25. Longitudinal study: Design, measures, classic example 26. Meta-analysis: Design, measures, classic example 27. Qualitative methods and mixed methods Section 5: Clinical Trials 28. Randomization and Multicentric Considerations in Clinical Trials 29. Nonrandomized Control 30. Historical Control 31. Study Types with Design, Measures, Classic Example 32. Blinding: Who and How? 33. Adaptive: Design, measures, classic example 34. Phase 0 Trials: Window of Opportunity 35. Registries, Phases of Clinical Trials, IDEAL Framework Section 6: Regulatory Basics 36. FDA overview 37. IND 38. Devices 39. Radiation-emitting Electronic Products 40. Biologics 41. Combination Products 42. A Brief Overview of the FDAs Involvement in the Regulation of Dietary Supplements 43. Cosmetics 44. CMC and GxP 45. Non-US regulatory 46. Post-Market Drug Safety Monitoring 47. Post-Market Device Safety Monitoring Section 7: Public Health 48. Public Health 49. Epidemiology 50. Factors 51. Good Questions 52. Population- and Environmental-specific Considerations 53. Healthcare Institutions and Systems 54. Public Health Institutions and Systems 55. Presenting Data

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Author Information

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 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. Maleeha Ahmad, MD, FRCS, FACS is a neurosurgeon with advanced fellowships spanning skull base, neurosurgical oncology, and stereotactic radiosurgery. Her work bridges the operating room, neurosurgical systems design, and the frontier of intelligent healthcare. With over a decade of expertise and more than 1,000 citations to her peer-reviewed publications, she is recognized as an authority in translational neurosurgery, with leadership across clinical trials, academic service lines, and editorial roles in leading neurosurgical publications. Having worked both within and beyond traditional academic silos—including ten years in academic medicine—she brings an outcomes-driven perspective shaped by high-volume integrated care systems. Her current focus lies in translating data-rich insights—from artificial intelligence and radiogenomics to global health frameworks—into advanced, safe, and patient-centric neurosurgical decision-making. As Lead Book Editor of Translational Neurosurgery, she curates this volume as a blueprint for the discipline’s next evolutionary leap.

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