Translational Neurosurgery

Häftad, Engelska, 2025

AvAdam E.M. Eltorai,Jeffrey A. Bakal,Maleeha Ahmad,Adam E. M. Eltorai,Adam E M Eltorai,Jeffrey A Bakal

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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

Produktinformation

Utgivningsdatum2025-12-05
Mått216 x 276 x 18 mm
Vikt450 g
FormatHäftad
SpråkEngelska
SerieHandbook for Designing and Conducting Clinical and Translational Research
Antal sidor350
FörlagElsevier Science
ISBN9780323905091

Tillhör följande kategorier

Biologi inom Naturvetenskap och teknik

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.

Section 1: Introduction1. Translational Process2. Scientific MethodSection 2: Pre-Clinical4. What problem are you solving?5. Types of interventions6. Drug testing7. Device discovery and prototyping8. Diagnostic testing9. Artificial IntelligenceSection 3: Statistical Principles10. Basic statistical principles11. Distributions12. Hypotheses and error types13. Power14. Continuous variable analyses15. Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel16. Analysis of variance17. Correlation18. Basic science statistics19. Sample Size20. Statistical SoftwareSection 4: Clinical: Study Types21. Outcome measurements: What data is being collected and why?22. Case series: Design, measures, classic example23. Case-control study: Design, measures, classic example24. Cross-section study: Design, measures, classic example25. Longitudinal study: Design, measures, classic example26. Meta-analysis: Design, measures, classic example27. Qualitative methods and mixed methodsSection 5: Clinical Trials28. Randomization and Multicentric Considerations in Clinical Trials29. Nonrandomized Control30. Historical Control31. Study Types with Design, Measures, Classic Example32. Blinding: Who and How?33. Adaptive: Design, measures, classic example34. Phase 0 Trials: Window of Opportunity35. Registries, Phases of Clinical Trials, IDEAL FrameworkSection 6: Regulatory Basics36. FDA overview37. IND38. Devices39. Radiation-emitting Electronic Products40. Biologics41. Combination Products42. A Brief Overview of the FDAs Involvement in the Regulation of Dietary Supplements43. Cosmetics44. CMC and GxP45. Non-US regulatory46. Post-Market Drug Safety Monitoring47. Post-Market Device Safety MonitoringSection 7: Public Health48. Public Health49. Epidemiology50. Factors51. Good Questions52. Population- and Environmental-specific Considerations53. Healthcare Institutions and Systems54. Public Health Institutions and Systems55. Presenting Data