
Translational Sports Medicine
- 1st Edition - August 14, 2023
- Imprint: Academic Press
- Editors: Jeffrey A. Bakal, Steve DeFroda, Brett D. Owens, Adam E.M. Eltorai
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 2 5 9 - 4
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 1 3 3 4 - 8
Translational Sports Medicine covers the principles of evidence-based medicine and applies these principles to the design of translational investigations. This title is an indisp… Read more

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Request a sales quoteTranslational Sports Medicine covers the principles of evidence-based medicine and applies these principles to the design of translational investigations. This title is an indispensable tool in grant writing and funding efforts with its practical, straightforward approach that will help aspiring investigators navigate challenging considerations in study design and implementation. It provides valuable discussions of the critical appraisal of published studies in translational sports medicine, allowing the reader to learn how to evaluate the quality of such studies with respect to measuring outcomes and to make effective use of all types of evidence in patient care.
In short, this practical guidebook will be of interest to every medical researcher or sports medicine clinician who has ever had a good clinical idea but not the knowledge of how to test it. Readers will come to fully understand important concepts, including case-control study, prospective cohort study, randomized trial and reliability study. Medical researchers will benefit from greater confidence in their ability to initiate and execute their own investigations, avoid common pitfalls in translational sports medicine, and know what is needed in collaboration.
- Focuses on the principles of evidence-based medicine and applies these principles to translational investigations within sports medicine
- Details discussions of the critical appraisal of published studies in translational sports medicine, supporting evaluation with respect to measuring outcomes and making effective use of all types of evidence in patient care
- Written by experts in the sports medicine field
- Cover image
- Title page
- Table of Contents
- Handbook for Designing and Conducting Clinical and Translational Research
- Copyright
- List of contributors
- Preface
- Part I. Introduction
- Part I Introduction
- Chapter 1. Introduction
- Chapter 2. The translational process
- Key points
- Why it matters
- Translational research
- Get started
- Pitfalls to avoid
- Real-world examples
- Chapter 3. Scientific method
- Key points
- Why it matters?
- Making an observation
- Formulating a question
- Generating a hypothesis
- Making predictions
- Experimentation and data gathering
- Analysis and drawing conclusions
- Summary
- Get started
- Potential pitfalls
- Example case
- Chapter 4. Basic research
- Key points
- Why it matters?
- Reductionist approach
- Reductionist versus applied research
- Objectives
- Disciplines
- Common lab methods/techniques
- Major areas of current investigation
- Get started
- Pitfalls to avoid
- Real-world examples
- Part II. Pre-clinical
- Part II Pre-clinical
- Chapter 5. Overview of preclinical research
- Key points
- Why it matters
- Get started
- The process for preclinical research
- Common research techniques for preclinical research
- Types of common experimentation methods in preclinical research
- Common areas of preclinical sports medicine research
- Growth factor study and mechanisms of delivery
- Cell-based interventions
- Biomechanical testing of proposed surgical procedures using cadaver specimens
- Computer modeling for kinematics and implant design
- Potential pitfalls to avoid
- Translatability
- Controls
- Reproducibility
- Chapter 6. What problem are you solving?
- Key points
- Defining the problem
- Solving the problem
- Framing the problem for research
- Get started
- Pitfalls
- Examples
- Chapter 7. Types of interventions: drugs, devices, diagnostic, procedural technique, and behavior change
- Drugs
- Devices
- Diagnostic
- Procedural technique
- Behavior change
- Chapter 8. Beyond drugs and surgery: a look at orthobiologics
- Key points
- Cell therapies
- Blood-derived products
- Recombinant growth factors
- Gene therapies
- Small molecules
- Fibrosis
- Exosomes
- Challenges associated with defining the orthobiologics' efficacy
- Chapter 9. Drug testing
- Key points
- Safety and toxicity testing
- Good Laboratory Practice
- Areas of current investigation
- Potential pitfalls
- Real-world examples
- Get started
- Funding considerations
- Chapter 10. Device discovery and prototyping
- Introduction
- Innovation in orthopedics
- Needs and market capacity assessments
- Prototyping
- Cost and budgetary considerations
- Conclusion
- Chapter 11. Device testing
- Key points
- Potential pitfalls
- Chapter 12. Diagnostic discovery
- Introduction
- Areas of current investigation
- Potential pitfalls to avoid
- Get started
- Real-world example
- Resources and funding sources
- Chapter 13. Diagnostic testing
- Key points
- Introduction
- Learning and defining terms
- Goals: what does a good diagnostic test look like?
- Real-world examples
- Regulatory considerations
- Get started
- Potential pitfalls
- Chapter 14. Preclinical: discussion of FDA product categories (what the FDA covers, regulated or not)
- Key points
- Introduction
- Human foods and supplements
- Human drugs
- Biologics
- Medical devices
- Radiation producing devices
- Cosmetics
- Veterinary products
- Tobacco products
- Resources: additional reading, consultants, contractors
- Get started
- Potential pitfalls
- Real-world examples
- Chapter 15. Procedural technique development
- Key points
- Body of text
- Phases of development for surgical techniques
- Conclusion
- Real-world examples from the published literature to further illustrate the concept and to serve as references or additional resources
- “Get started” section
- Pitfalls to avoid
- Chapter 16. Behavioral intervention studies
- Key points
- Introduction
- Stage model for behavioral intervention studies
- Recently published representative studies
- Get started
- Pitfalls to avoid
- Chapter 17. Artificial intelligence
- Key points
- Introduction
- Designing a clinical research study using AI
- Steps to designing an AI-based clinical research study
- Examples of artificial intelligence in clinical research
- Get started
- Potential pitfalls
- Resources
- Part III. Clinical: Fundamentals
- Part III Clinical: Fundamentals
- Chapter 18. Introduction to clinical research: what is it? why is it needed?
- Key points
- Get started
- Real-world examples
- Chapter 19. The question: types of research questions and how to develop them
- Key points
- “Why it matters?”
- Types of clinical research questions
- Development of a clinical research question
- Get started
- Potential pitfalls
- Chapter 20. Study population: who and why them?
- Key points
- Why this matters
- Selecting sampling methods by study needs
- Types of sampling
- Get started
- Potential pitfalls
- Chapter 21. Outcome measurements: what data is being collected and why?
- Key points
- Why this matters
- What are outcome measures?
- Selecting outcome measures
- Patient-reported outcome measures
- Clinical versus statistical significance
- Get started
- Potential pitfalls
- Chapter 22. Optimizing the question: balancing significance and feasibility
- Key points
- Why it matters
- Real world examples
- Get started
- Potential pitfalls to avoid
- Resources/further reading
- Part IV. Statistical principles
- Part IV Statistical principles
- Chapter 23. Common issues in analysis
- Key points
- Introductory section/why it matters
- Limitations by study design
- Observational studies
- Statistical significance and the P-value: common misunderstood concepts in analysis
- Conclusions
- Get started
- Potential pitfalls
- Examples of …
- Resources
- Chapter 24. Basic statistical principles
- Sensitivity
- Specificity
- Positive predictive value
- Negative predictive value
- Risk quantification
- Incidence
- Prevalence
- Precision
- Accuracy
- Statistical distribution
- Chapter 25. Distribution
- Key points
- Introduction
- Discrete distribution
- Continuous distribution
- Potential pitfalls to avoid
- Chapter 26. Research hypothesis and error types
- Hypothesis
- Errors
- Chapter 27. Power
- Key points
- Why it matters?
- Power
- Pitfalls to avoid
- Chapter 28. Multivariable regression models
- Key points
- Why it matters
- Types of regression
- Get started
- Chapter 29. How to choose appropriate bivariate test
- Key points
- Introductory section/why it matters
- Get started
- Potential pitfalls
- Examples
- Single sample t-test
- Paired t-test
- Independent group t-test
- Independent sample t-test assuming unequal variances
- Wilcoxon–Mann–Whitney test
- Chapter 30. Categorical variable analyses: chi-square, Fisher exact, Mantel–Haenszel
- Key points
- Introduction
- Chi-square
- The Fisher's exact test
- Mantel–Haenszel
- Pitfalls to avoid
- Chapter 31. Analysis of variance: ANOVA
- Key points
- Introduction
- One-way ANOVA
- Conclusions
- Get started
- Chapter 32. Correlation
- Introduction
- Key aspects
- Chapter 33. Statistical bias
- Chapter 34. Basic science statistics
- Chapter 35. Sample size
- Chapter 36. Statistical software
- Key points
- Excel
- SPSS
- SAS
- STATA
- R
- Potential pitfalls to avoid
- Get started
- Part V. Clinical: Study types
- Part V Clinical: Study types
- Chapter 37. Design principles: hierarchy of study types
- Key points
- Why it matters
- Body of text
- Get started
- Potential pitfalls to avoid
- Real-world examples
- Chapter 38. Case series: design, measures, and an example
- Why it matters
- Definition of a case series
- Benefits and limitations to investigator
- Step-by-step design
- Examples of case series
- Budgetary considerations
- Get started
- Potential pitfalls
- Chapter 39. Case-control study
- Key points
- Introduction
- Benefits and limitations
- Budgetary considerations
- Standard research personnel and roles
- Study design and getting started
- Pitfalls to avoid
- Get started
- Examples from current literature
- Chapter 40. Cohort studies
- Key points
- Introduction
- Design
- Potential pitfalls to avoid
- Research team personnel
- Budgetary considerations
- Get started
- Chapter 41. Cross-section study
- Key points
- Introduction
- Benefits and limitations
- Budgetary considerations
- Standard research personnel and roles
- Study design and getting started
- Get started
- Pitfalls to avoid
- Examples from current literature
- Chapter 42. Longitudinal study: design, measures, classic example
- Key points
- Get started
- Real-world example
- The research team
- Budgetary considerations
- Potential pitfalls to avoid
- Resources additional reading
- Chapter 43. Meta-analysis
- Key points
- Introduction
- Design
- Strengths and limitations
- Potential pitfalls to avoid
- Research team personnel
- Budgetary considerations
- Get started
- Chapter 44. Cost-effectiveness study: design, measures, classic example
- Key points
- Why it Matters?
- Introduction
- Study design
- Examples
- Research personnel and budgetary considerations
- Potential pitfalls to avoid
- Get started
- Resources
- Chapter 45. Diagnostic test evaluation: design, measures, classic example
- Key points:
- Getting started: Diagnostic test parameters
- Designing studies to avoid common biases
- Use of standards in antigen testing for COVID-19
- Potential pitfalls
- Resources
- Chapter 46. Reliability study: design, measures, classic example
- Key points
- What is reliability?
- How do we measure reliability?
- Study design
- Examples
- Budgetary considerations
- Pitfalls to avoid
- Get started
- Chapter 47. Database types and basic data management design principles for healthcare research
- Key Points
- Get started
- Potential pitfalls
- Resources
- Chapter 48. Survey studies and questionnaires
- Key points
- Why it matters?
- Designing a survey study
- Research team personnel and roles
- Benefits and limitations
- Budget and funding
- Real-world application
- Potential pitfalls
- Get started
- Chapter 49. Qualitative methods and mixed methods
- Key points
- Why it matters?
- Qualitative research
- Mixed methods research
- Designing a study
- Other considerations
- “Real-world examples”
- Get started
- Common pitfalls
- Resources
- Part VI. Clinical: Trials
- Part VI Clinical: Trials
- Chapter 50. Randomized controlled trials
- Key points
- Why it matters?
- Choosing a research question
- Randomization
- Unit of randomization
- Experimental design
- Control group
- Blinding
- Outcome measures
- Generalizability
- Attrition
- Ethical concerns
- Get started
- Potential pitfalls
- Chapter 51. Nonrandomized controlled trials
- Introduction
- Define your intervention
- Define the study population
- Define the study outcomes
- Allocation of subjects
- Study examples
- Potential pitfalls
- Starting your study
- Chapter 52. Historical control: design, measures, classic example
- Key points
- Chapter 53. Crossover studies
- Key points
- Introduction
- Overview crossover designs
- Analysis of simple crossover designs
- Advantages
- Limitations
- Ethics
- Crossover design for dosing trials
- Study design examples
- Potential pitfalls
- Get started
- Chapter 54. Withdrawal studies: design, measures, classic example
- Key points
- Introduction
- Benefits
- Limitations
- Standard research team personnel and roles
- Budgetary considerations and how to fund
- Chapter 55. Factorial design: design, measures, classic example
- Key points
- Get started
- Potential pitfalls to avoid
- What is a factorial design study?
- How is a factorial design study's data interpreted?
- Factorial design versus randomized control trial
- Real-world examples of factorial design application in translational sports medicine
- Chapter 56. Group or cluster controlled trials: design, measures, classic example
- Key points
- Why it matters?
- Group/cluster-allocated trials
- Case number calculation
- Get started
- Potential pitfalls
- Real-world examples
- Chapter 57. Hybrid design: design, measures, classic examples
- Key Points
- Introduction
- Get started (see Table 57.3)
- Benefits of HD
- Potential pitfalls
- Budgetary considerations
- Chapter 58. Large, pragmatic clinical trials
- Key points
- Benefits
- Limitations
- Steps to designing a pragmatic trial
- Standard research team and roles
- Budgetary considerations
- Get started
- Potential pitfalls
- Chapter 59. Equivalence and noninferiority: design, measures, classic example
- Key points
- Why it matters
- Real life example #1
- Real life example #2
- Real life example #3
- Potential pitfalls
- Get started
- Chapter 60. Translational sports medicine: handbook for designing and conducting clinical and translational research
- Key points
- Introduction
- Advantages
- Disadvantages
- Principles of designing an adaptive design clinical trial
- Practical considerations
- Potential pitfalls
- Get started
- Chapter 61. Randomization: fixed or adaptive procedures
- Key points
- Get started
- Potential pitfalls to avoid
- Chapter 62. Blinding: who, when and how? importance and impact on findings
- Key points
- Single blinding
- Double blinding
- Triple blinding
- Conclusion
- Get started
- Potential pitfalls to avoid
- Chapter 63. Multicenter considerations
- Key points
- Introduction
- Benefits and challenges
- How to design a multicenter study
- Chapter 64. Phase 0 trials: window of opportunity
- Key points
- Introductory section/Why it matters?
- Study design and practical considerations
- Benefits and challenges
- Standard research team and roles
- Budgetary considerations and funding this stage
- Conclusion
- Get started
- Potential pitfalls
- Chapter 65. Registries
- Key points
- Introduction
- Divisions of database research
- Clinical registries
- US databases utilized in arthroplasty research
- Functional comparison of available registries and databases
- Sample sizes of lower extremity arthroplasty procedures in databases
- Journals publishing database/registry research
- Conclusion
- Chapter 66. Phases of clinical trails
- Key points
- Avoiding pitfalls
- Chapter 67. IDEAL framework: framework for describing the stages of innovation in surgery
- Key points
- Introduction
- Stage 1: Innovation
- Stage 2a: Development
- Stage 2b: Exploration
- Stage 3: Assessment
- Stage 4: Long-term study
- Conclusions
- Get started
- Potential pitfalls to avoid
- Real-world examples
- Part VII. Clinical preparation
- Part VII Clinical preparation
- Chapter 68. Patient perspectives
- Key points
- Why it matters?
- Regulatory guidance on incorporating patient perspectives
- Building a study team to consider patient perspectives
- Considering patient perspective during research design
- Benefits of considering patient perspective during research design
- The informed patient
- Considering the patient during dissemination of findings
- Conclusions
- Get started
- Potential pitfalls
- Resources: additional reading, consultants, contractors
- Chapter 69. Budgeting
- Introduction
- Types of funding
- Considerations for budgeting
- Timelines for study funding
- Conclusion
- Chapter 70. Ethics and review boards
- Key points
- Why ethics in research matters
- Guiding principles
- Part A: Boundaries between practice and research
- Part B: Basic ethical principles
- Part C: Applications
- Getting started with human subject research
- Common pitfalls
- Resources
- Chapter 71. Regulatory considerations for sports medicine technologies: new drugs and medical devices
- Key points
- Regulatory pathways
- FDA requirements
- Data collection considerations for nonapproved technologies
- Issues with regulatory agencies for clinical studies
- Get started
- Potential pitfalls
- Real-world examples
- Resources
- Chapter 72. Funding approaches
- Sources of funding
- Grant writing
- Conclusion
- Chapter 73. Conflicts of interest
- Key points
- Get started
- Why it matters
- Body of text
- Potential pitfalls to avoid
- Real-world examples from published literature
- Chapter 74. Subject recruitment
- Key points
- Clinical research scenario
- Developing and implementing a recruitment strategy
- Ethical considerations in patient recruitment
- Get started
- Potential pitfalls
- Resources: additional reading, consultants, contractors
- Chapter 75. Data management: how to manage data safely and effectively in an organized manner
- Key points
- Introduction
- Data management considerations
- Data organization
- Resources
- Compliance/data management plan
- Data retention
- Real-world example
- Get started
- Potential pitfalls to avoid
- Chapter 76. A practical guide to conducting research in the acute setting
- Key points
- Introduction
- Benefits and challenges for engaging in research for sports medicine clinicians
- General guidelines for designing a research study in a medical setting
- Distilling clinical observations into research questions and hypotheses
- Planning the research
- Creating a research team with clinical expertise and awareness
- Positioning clinical research activity for funding
- Potential pitfalls
- Get started
- Conclusion
- Chapter 77. Special populations
- Key points
- Introduction
- Where are we today?
- The ideal research team
- Principles of the effective research team
- Orthopedic sports medicine research
- Nonphysician personnel
- Tactics to attract minorities
- Potential pitfalls
- Get started
- Real-world examples
- Chapter 78. Subject adherence
- Introduction
- Intention to treat
- Per protocol and as treated
- Stylized example
- Per protocol
- As treated
- Clinical example
- What have we learned?
- Pitfalls
- Get started
- Resources
- Chapter 79. Time-to-event outcomes and survival analysis
- Key points
- Why it matters
- A few foundational concepts
- Get started
- Potential pitfalls
- Examples
- Resources
- Chapter 80. Monitoring committee in clinical trials
- Key points
- Why it matters
- Get started
- Potential pitfalls
- Examples
- Resources
- Part VIII. Regulatory basics
- Part VIII Regulatory basics
- Chapter 81. FDA overview
- Key points
- Why it matters
- The FDA
- Mission
- Structure, organization, and hierarchy
- What does the FDA regulate?
- Foods
- Drugs
- Biologics
- Medical devices
- Electronic products that give off radiation
- Cosmetics
- Veterinary products
- Tobacco products
- Center for drug evaluation and research
- Structure
- Definition of a drug
- Prescription drugs
- Over-the-counter drugs
- Biological therapeutics
- Drug development and review
- Center for devices and radiological health
- Structure
- What is a medical device?
- What to avoid
- Chapter 82. Investigational new drug (IND) application
- Key points
- What is an IND and why is it important?
- What are the different types of IND?
- When is an IND required?
- When is it not necessary to have an IND?
- What does an IND consist of?
- Form 1571
- Form FDA-1572
- Additional information
- Protocol and information amendments
- Safety reports (FDA form 3500A)
- Annual reports
- Clinical holds, termination, and inactivation
- Conclusions
- Get started
- Real-world examples
- Potential pitfalls
- Additional resources
- Chapter 83. New drug application
- Introduction
- Get started
- Chapter 84. Medical devices
- Key points
- Overview
- Medical devices classification
- Pathways
- Funding
- Common challenges
- Chapter 85. Radiation-emitting electronic products
- Key points
- Why does it matter?
- Overview
- Components, processes, and pathways
- Common challenges and real-world examples
- Chapter 86. Orphan drugs
- Overview
- Process/pathways
- Components
- Common examples
- Budgetary considerations
- Chapter 87. Biological drugs
- Real-world examples
- Key points and potential pitfalls to avoid
- Chapter 88. Combination products
- Key points
- Get started
- Potential pitfalls
- Chapter 89. Cosmetics in sports medicine
- Process/Pathways1
- Components
- Examples
- Common challenges3
- Budgetary consideration and how to fund
- Chapter 90. CMC and GxP: chemistry, manufacturing, and controls & good practice' guidelines and regulations
- Key points
- Chemistry, manufacturing, and controls
- Good practice' guidelines and regulations
- Chapter 91. Non-US regulatory
- Key points
- Introductory section/Why it matters?
- Regulation outside the United States
- Chapter 92. Postmarket drug safety monitoring
- Chapter 93. Postmarket device safety monitoring
- Key points
- Introduction
- Interim Postmarket Surveillance Report
- Final Postmarket Surveillance Report
- Evaluation of Postmarket Surveillance Final Report
- Failure to comply with postmarket surveillance
- Public disclosure of postmarket surveillance plan
- Potential pitfall
- Get started
- Part IX. Clinical implementation
- Part IX Clinical implementation
- Chapter 94. Implementation research
- Key points
- Get started
- Chapter 95. Design and analysis
- Introduction
- Overview of implementation objectives and outcomes
- Intervention research methods example #1: RE-AIM framework for planning and evaluating outcomes
- Intervention research methods example #2: mixed methods
- Methodological challenges in implementation research
- Study design
- Experimental—waitlist randomized controlled trial
- Quasi-experimental—multiple baseline trial
- Observational study design
- Conclusion
- Get started
- Potential pitfalls
- Real-world examples
- Resources
- Chapter 96. Mixed methods in concussion research
- Summary
- Why it matters
- Defining mixed methods
- Types of mixed methods designs
- Examples in concussion research
- Get started
- Pitfalls to avoid
- Resources
- Chapter 97. Implementation of multimodal concussion research within military medical environments
- Key points
- Introduction
- Resources
- Translation example 1. Initial prototype of the Bethesda Eye and Attention Measure
- Translational example 2. Initial demonstration of sensitivity in the mTBI clinical population
- Translational example 3. Testing an advanced prototype in the military clinical environment
- Disclaimer
- Chapter 98. Guideline development
- Key points
- Introduction/why it matters
- Get started
- Part X. Public health
- Part X Public health
- Chapter 99. Public health
- Key points
- Why it matters
- Get started
- Examples
- Resources
- Chapter 100. Epidemiology of sports injuries
- Key points
- Introduction
- Sports injuries in adolescents
- Demographic data on sports injuries in the United States
- International sports injury data
- Population level effects of sports injuries
- Chapter 101. Factors
- Key points
- Multifactorial considerations in public health
- Get started
- Potential pitfalls
- Resources
- Chapter 102. Good questions—asking the right public health questions
- Key points
- Why it matters
- Examples
- Potential pitfalls to avoid
- Get started
- Chapter 103. Population- and environmental-specific considerations
- Key points
- Why it matters
- Population considerations
- Environmental considerations
- Potential pitfalls to avoid
- Get started
- Chapter 104. Law, policy, and ethics
- Key points
- Why it matters
- Overview
- Objectives of public health law, policy, and ethics in translational research
- Methods
- Impact
- Challenges
- Get started
- Potential pitfalls
- Chapter 105. Healthcare institutions and systems
- Key points
- Using translational research to impact policy
- Types of healthcare institutions
- Interactions between healthcare institutions
- Get started
- Potential pitfalls
- Examples of the influence of healthcare institutions on the translational research process
- Resources
- Chapter 106. Public health institutions and systems
- Key points
- Key public health institutions
- States and local departments of health
- Nongovernmental public health entities
- Partnership between translational researchers and public health entities
- Social determinants of health
- Get started
- Potential pitfalls
- CMS—Comprehensive Care for Joint Replacement
- PCORI
- Social determinants of health
- Resources
- Part XI. Practical resources
- Part XI Practical resources
- Chapter 107. Presenting data
- Chapter 108. Manuscript preparation
- Key points
- Preface
- Abstract
- Introduction
- Materials and methods
- Results
- Discussion
- Conclusion
- References
- Get started
- Pearls and pitfalls—suggested by Provenzale2
- Real-world examples
- Resources
- Chapter 109. Promoting research
- Key points
- Introduction
- Methods to promote research
- Real-world example on how to rewrite abstract components to be more direct and succinct
- Real-world example of an effective table that succinctly delivers data
- Real-world example of how to create an abstract that is tweetable and easily shared
- Author impact metrics
- Academic advancement
- Risks
- Get started
- Pitfalls to avoid
- Resources
- Chapter 110. Quality improvement
- Key points
- Why it matters?
- Introduction
- Reporting and disseminating results
- Example studies
- Personnel
- Funding
- Potential pitfalls to avoid
- Get started
- Additional resources
- Chapter 111. Team science and building a team
- Key points
- Why it matters
- What is team science?
- Why team science?
- Examples of team science
- Is team science right for you?
- Building a team
- Finding collaborators
- Get started
- Potential pitfalls to avoid
- Additional reading
- Chapter 112. Types of intellectual property
- Four main types
- Recommendations for timing of filing
- Example patent template21,22
- Budgetary considerations
- Chapter 113. Venture pathways
- Key points
- Main text
- Basics of starting a company
- Licensing
- Venture capital funding
- Exit strategies
- Get started
- Potential pitfalls to avoid
- Real-world examples
- Resources
- Chapter 114. Utilizing National Institutes of Health (NIH) grants to fund translational research: An Overview
- Key points
- Introduction to the National Institutes of Health grant application process
- Initial preparation for the application process and important personnel
- Application completion and review process
- Award processing
- Pitfalls to avoid
- Get started
- Real world examples
- Additional resources
- Chapter 115. Sample forms and templates
- Key points
- IRB protocols
- IRB budgets
- Grant proposals
- Consort diagram
- Equator guidelines
- Lincoln and guba framework
- Real-world examples
- Potential pitfalls to avoid
- Glossary
- Index
- Edition: 1
- Published: August 14, 2023
- No. of pages (Paperback): 620
- No. of pages (eBook): 700
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323912594
- eBook ISBN: 9780323913348
JB
Jeffrey A. Bakal
SD
Steve DeFroda
BO
Brett D. Owens
AE
Adam E.M. Eltorai
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.