Translational Pulmonology

Name: Translational Pulmonology
Price: 165 USD
Availability: InStock
ISBN: 9780323903912

by Davis A. Hartnett, Jeffrey A. Bakal, Adam E.M. Eltorai, Larisa G. Tereshchenko

1st Edition

Publisher: Academic Press

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Book Details

Print ISBN	9780323903912
eText ISBN	9780323904384
Publisher	Academic Press
Publishing Year	2025
Edition	1st Edition
Language	English

The 1st Edition of Translational Pulmonology provides a practical handbook for taking medical devices, candidate therapeutics, and research questions from initial idea through clinical benefit. Published by Academic Press and edited by Davis A. Hartnett, Jeffrey A. Bakal, Adam E.M. Eltorai, and Larisa G. Tereshchenko, the volume outlines necessary operational steps across the translational research pipeline.

The thematic coverage focuses on early preclinical stages alongside established clinical trial design models. Readers examine methodology for drug discovery and drug testing, as well as biomedical device discovery, prototyping, and preclinical device testing. Subsequent sections review clinical trial design models, including randomized controlled trials, crossover studies, factorial design, adaptive trials, and phase 0 trials.

A key defining feature includes detailed discussions regarding the critical appraisal of published pulmonary literature. These analytical tools assist researchers in evaluating outcome measurement quality across translational investigations, establishing clear standards for study evaluation.

Chapter 1: Introduction
Chapter 2: Translational process
Chapter 3: Scientific Method
Chapter 4: Overview of Preclinical Research
Chapter 5: What Problem are You Solving?
Chapter 6: Types of Interventions
Chapter 7: Drug Discovery
Chapter 8: Drug Testing
Chapter 9: Device Discovery and Prototyping
Chapter 10: Device Testing
Chapter 11: Diagnostic Discovery
Chapter 12: Other Product Types
Chapter 13: Procedural Technique Development
Chapter 14: Behavioral Intervention
Chapter 15: Artificial Intelligence
Chapter 16: Introduction to Clinical Research: What is it? Why is it Needed?
Chapter 17: The Question: Types of Research Questions and how to Development Them
Chapter 18: Study Population: Who and Why Them?
Chapter 19: Outcome Measurements: What Data is Being Collected and Why?
Chapter 20: Optimizing the Question: Balancing Significance and Feasibility
Chapter 21: Common Issues in Analysis
Chapter 22: Basic Statistical Principles
Chapter 23: Hypotheses and Error Types
Chapter 24: Power
Chapter 25: Regression
Chapter 26: Continuous Variable Analyses
Chapter 27: Categorical Variable Analyses: Chi-square, Fisher Exact, Mantel Hanzel
Chapter 28: Correlation
Chapter 29: Biases
Chapter 30: Basic Science Statistics
Chapter 31: Sample Size
Chapter 32: Statistical Software
Chapter 33: Design Principles: Hierarchy of Study Types
Chapter 34: Case Series: Design, Measures, Classic Example
Chapter 35: Case-Control Study: Design, Measures, Classic Example
Chapter 36: Cohort Study: Design, Measures, Classic Example
Chapter 37: Cross-section Study: Design, Measures, Classic Example
Chapter 38: Longitudinal Study: Design Measures, Classic Example
Chapter 39: Meta-analysis: Design, Measures, Classic Example
Chapter 40: Cost-effectiveness Study: Design, Measures, Classic Example
Chapter 41: Diagnostic Test Evaluation: Design, Measures, Classic Example
Chapter 42: Reliability Study: Design, Measures, Classic Example
Chapter 43: Database Studies: Design, Measures, Classic Example
Chapter 44: Surveys and Questionnaires: Design, Measures, Classic Example
Chapter 45: Qualitative Methods and Mixed Methods
Chapter 46: Randomized Control: Design, Measures, Classic Example
Chapter 47: Historical Control: Design, Measures, Classic Example
Chapter 48: Cross-Over: Design, Measures, Classic Example
Chapter 49: Withdrawal Studies: Design, Measures, Classic Example
Chapter 50: Factorial Design: Design, Measures, Classic Example
Chapter 51: Group Allocation: Design, Measures, Classic Example
Chapter 52: Hybrid Design: Design, Measures, Classic Example
Chapter 53: Large, Pragmatic: Design, Measures, Classic Example
Chapter 54: Equivalence and Noninferiority: Design, Measures, Classic Example
Chapter 55: Adaptive: Design, Measures, Classic Example
Chapter 56: Phase 0 Trials: Window of Opportunity
Chapter 57: Registries
Chapter 58: Phases of Clinical Trials
Chapter 59: IDEAL Framework
Chapter 60: Patient Perspectives
Chapter 61: Budgeting
Chapter 62: Ethics and Review Boards
Chapter 63: Regulatory Considerations for New Drugs and Devices
Chapter 64: Funding Approaches
Chapter 65: Conflicts of Interest
Chapter 66: Subject Recruitment
Chapter 67: Data Management
Chapter 68: Special Populations
Chapter 69: Subject Adherence
Chapter 70: Survival Analysis
Chapter 71: Monitoring Committee in Clinical Trials
Chapter 72: FDA Overview
Chapter 73: IND
Chapter 74: New Drug Application
Chapter 75: Devices
Chapter 76: Orphan Drugs
Chapter 77: Biologics
Chapter 78: Combination Products
Chapter 79: Foods
Chapter 80: Cosmetics
Chapter 81: CMC and GxP
Chapter 82: Non-US Regulatory
Chapter 83: Post-Market Drug Safety Monitoring
Chapter 84: Post-Market Device Safety Monitoring
Chapter 85: Implementation Research
Chapter 86: Design and Analysis
Chapter 87: Mixed-methods Research
Chapter 88: Population- and Setting-specific Implementation
Chapter 89: Guideline Development
Chapter 90: Public Health
Chapter 91: Epidemiology
Chapter 92: Factors
Chapter 93: Good Questions
Chapter 94: Population- and Environmental-specific Considerations
Chapter 95: Law, Policy, and Ethics
Chapter 96: Healthcare Institutions and Systems
Chapter 97: Public Health Institutions and Systems
Chapter 98: Presenting Data
Chapter 99: Manuscript Preparation
Chapter 100: Quality Improvement
Chapter 101: Team Science and Building a Team
Chapter 102: Patent Basics
Chapter 103: Venture Pathways
Chapter 104: SBIR/STTR
Chapter 105: Sample Forms and Templates