Skip to main content

Translational Neurosurgery

  • 1st Edition - November 18, 2025
  • Latest edition
  • Editors: Adam E.M. Eltorai, Jeffrey A. Bakal, Maleeha Ahmad
  • Language: English

Translational Neurosurgery provides a comprehensive overview reflecting the depth and breadth of the field of translational research focused on neurosurgery, with input from a dist… Read more

World Book Day celebration

Where learning shapes lives

Up to 25% off trusted resources that support research, study, and discovery.

Description

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.

Key features

  • 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

Readership

Clinicians, neurosurgeons, neurosurgery investigators, basic scientists interested in translating their research into clinical practice

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

Product details

  • Edition: 1
  • Latest edition
  • Published: December 5, 2025
  • Language: English

About the editors

AE

Adam E.M. Eltorai

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.

Affiliations and expertise
Harvard Medical School, Boston, MA, USA

JB

Jeffrey A. Bakal

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.
Affiliations and expertise
Division General Internal Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton Alberta, Canada

MA

Maleeha Ahmad

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.

Affiliations and expertise
UHS and HCA Healthcare Systems, Riverside, California, USA

View book on ScienceDirect

Read Translational Neurosurgery on ScienceDirect