
Digital Human Modeling and Medicine
The Digital Twin
- 1st Edition - December 4, 2022
- Imprint: Academic Press
- Editors: Gunther Paul, Mohamed H. Doweidar
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 9 1 3 - 1
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 4 2 1 8 - 6
Digital Human Modeling and Medicine: The Digital Twin explores the body of knowledge and state-of-the-art in Digital Human Modeling (DHM) and its applications in medicine.… Read more

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Request a sales quoteDigital Human Modeling and Medicine: The Digital Twin explores the body of knowledge and state-of-the-art in Digital Human Modeling (DHM) and its applications in medicine. DHM is the science of representing humans with their physical properties, characteristics and behaviors in computerized, virtual models. These models can be used standalone or integrated with other computerized object design systems to both design or study designs of medical devices or medical device products and their relationship with humans. They serve as fast and cost-efficient computer-based tools for the assessment of human functional systems and human-system interaction.
This book provides an industry first introductory and practitioner focused overview of human simulation tools, with detailed chapters describing body functional elements and organs, organ interactions and fields of application. Thus, DHM tools and a specific scientific/practical problem – functional study of the human body – are linked in a coherent framework. Eventually the book shows how DHM interfaces with common physical devices in medical practice, answering to a gap in literature and a common practitioner question. Case studies provide the applied knowledge for practitioners to make informed decisions.
- A non-specialist level, up-to-date overview and introduction to all medically relevant DHM systems to inform trialing, procurement decisions and initial application
- Includes user-level examples and case studies of DHM applications in various medical fields
- Clearly structured and focused compendium that is easy to access, read and understand
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Section 1. Modeling methods
- Chapter 1. From the visible human project to the digital twin
- Introduction
- The visible human project
- Anatomography
- Virtual physiological human
- The digital twin
- Chapter 2. Massive data probabilistic framework for parameter estimation in biological problems
- Introduction
- General framework
- Mathematical tools and concepts
- Methodology
- A case study: GBM evolution
- Conclusions
- Chapter 3. Deep learning applied to detection of the vulnerable atherosclerotic plaque
- Chapter 4. Computational stability of human musculoskeletal systems
- Introduction
- Methods
- Stability of the human spine
- Stability of human knee joint
- Summary
- Chapter 5. Techniques for automatic landmark detection of human tissue
- Introduction
- Machine learning techniques
- Knowledge-based techniques
- Conclusion
- Chapter 6. Multibody modeling of the musculoskeletal system
- Introduction
- Fundamentals of multibody modeling
- Motion capture–based model
- Analysis of gait modifications
- Other applications
- Concluding remarks
- Chapter 7. AnyBody modeling system
- Background and context
- Software design choices
- The model repository
- Applications
- Digital human models and the digital patient
- Chapter 8. The NEUROiD neuromusculoskeletal movement simulation platform
- Introduction
- The NEUROiD movement simulation platform
- Design and characterization of limbs in silico
- Movement training of virtual limbs
- NEUROiD in medicine
- Conclusion and future landscapes
- Chapter 9. HumMod: a modeling environment for the simulation of integrative human physiology
- Disclosures
- History
- HumMod for testing physiological concepts and hypotheses in pathophysiology
- Conclusion, limitations, and future considerations
- Section 2. Organs
- Chapter 10. Computational biomechanics as a tool to improve surgical procedures for Uterine Prolapse
- Introduction
- Biomechanical uterine prolapse simulation
- Isotropic constitutive model—simulating the passive behavior
- Computational model of the pelvic cavity
- Computational model of the implant
- Biomechanical properties of the soft tissues and mesh implant
- Uterine prolapse simulation
- Personalized models to repair the uterine prolapse
- Conclusions
- Chapter 11. Computational Modeling of aerosol particle transport and deposition in the healthy and stented human airways considering different breathing conditions and particle sizes
- Clinical background
- Materials and methods
- Results
- Conclusions and final remarks
- Funding
- Chapter 12. Ultrafine particle transport to the lower airways: airway diameter reduction effects
- Introduction
- Geometrical development
- Numerical methods
- Result and discussion
- Velocity functions
- Pressure variations
- Particle deposition fraction
- Escaped particles
- Conclusions
- Limitations of the approach
- Chapter 13. Aerosolized airborne bacteria and viruses inhalation: Micro-bioaerosols deposition effects through upper nasal airway inhalation
- Introduction
- Materials and method
- Results
- Discussion
- Conclusion
- Chapter 14. Numerical simulation of the aortic arch behavior
- Nomenclature
- Introduction
- Methods
- Results
- Discussion
- Conclusion
- Disclosure of interest
- Chapter 15. Modern placental imaging methods
- Introduction
- Ultrasound
- Doppler
- Volume rendering
- Sonoelastography
- Placental elastography
- Magnetic resonance imaging
- Conclusion
- Section 3. Foot digital twin and in silico clinical applications
- Chapter 16. Foot digital twin and in silico clinical applications
- Where a foot digital twin can help
- How to build a foot digital twin
- Foot digital twin: a look into the future
- Chapter 17. Flow processes occurring within the body but still external to the body's epithelial layer (gastrointestinal and respiratory tracts)
- Introduction
- Computational methods
- Ingestion and oral digestion
- Stomach
- Small intestine
- Large intestine
- Liquid transport and droplet formation in the respiratory tract
- Conclusions
- Chapter 18. Digital modeling of the jaws for the evaluation of mandibular reconstruction techniques
- Introduction
- Anatomy and biomechanics of the mandible
- The finite element method
- Alloplastic mandibular reconstruction methods: evaluating the implant design using finite element analysis
- Design and plan of endoprostheses
- Stress and magnitude of displacement of stem and wing design in unilateral loading conditions
- Conclusion
- Chapter 19. Cornea digital twins for studying the critical role of mechanics in physiology, pathology and surgical repair
- Introduction
- Corneal biomechanics
- In silico biomechanical models of cornea
- Concluding remarks
- Chapter 20. Influence of fluid–structure interaction on human corneal biomechanics under air puff non-contact tonometry
- Introduction
- Numerical methods
- Air puff traverses and pressure on cornea
- Parametric study statistics
- Intraocular pressure algorithm (fIOP)
- Corneal material stress–strain index (fSSI)
- Conclusions
- Section 4. Biomedicine
- Chapter 21. Digital twins for understanding the mechanical adaptation of bone in disease and postsurgery
- Introduction—the basics of bone remodeling
- Computational models of bone remodeling in response to mechanical stimuli
- Effects of implants and pharmaceuticals on bone remodeling
- Alternative or complementary numerical approaches to FE for in silico bone remodeling
- Conclusion
- Chapter 22. Bone strength, bone remodeling, and Biomechanics of fracture
- Bone physiology
- Bone cells
- Bone modeling and remodeling
- Bone mechanical properties and fracture
- Predictions of bone strength with finite element models
- Model validation
- Predictions of bone remodeling
- Chapter 23. Single-cell based models for cell–cell and cell–extracellular matrix interactions
- Introduction
- Methodology
- Numerical implementation and applications
- Conclusions
- Chapter 24. Flow and remodeling processes occurring within the body proper
- Introduction
- Computational methods
- Models for biological processes
- Hemodynamics of vascular disease
- Blood coagulation and clot formation modeling
- Plaque rupture in an artery
- Bone remodeling
- Conclusions
- Section 5. Medical devices
- Chapter 25. Digital co-creation: an early-stage product individualization framework to bridge the customer–designer void
- Introduction
- Background
- Methodology
- Case study
- Discussion and conclusions
- Chapter 26. Implant design on virtual digital human skull models for the creation of customized Patient-specific regenerative implants: biomechanical consideration
- Introduction
- Regenerative craniofacial surgery—current state of the art
- Customized implant design—design considerations
- Customized implant design—biomechanics
- Commercialization considerations—a balancing act between design and regulation through in vivo tissue engineering
- Future outlook
- Chapter 27. Virtual reality–assisted treatment planning, patient management, and educational approaches in dentistry
- Introduction
- Implant treatment planning
- Digital workflow in dental implantology
- Future directions
- Section 6. Medical application
- Chapter 28. Whole-body movement modeling in realistic environments for understanding performance and injury
- Introduction
- Markerless motion capture for digital human model construction
- Computational methods
- Using digital twins to understand performance and injury: sports examples
- Realtime digital human applications: workplace injury example
- Creating software products based on human digital twins
- Conclusions
- Chapter 29. Digital human modeling in cleft care
- Introduction
- Presurgical infant orthopedics
- Cleft lip and cleft lip nasal deformity repair
- Cleft palate repair
- Alveolar bone cleft reconstruction
- Orthognathic surgery in cleft care
- Conclusion
- Chapter 30. The virtual patient model for correction of facial deformity and accuracy of simulation and surgical guide construction
- Historical methods of planning
- 3D imaging and biomechanical soft tissue simulation
- Virtual surgical planning, customized surgical guide, and fixation plates
- Comparison between traditional and modern planning
- Chapter 31. Patient-specific modeling of pain progression: a use case on knee osteoarthritis patients using machine learning algorithms
- Introduction
- Dataset description
- Methods
- Results and discussion
- Conclusions
- Chapter 32. A design procedure for the development of VR platforms for the rehabilitation of patients after stroke
- Introduction
- Scientific background
- Methods and tools
- Use cases
- Evaluation
- Conclusion
- Chapter 33. Personalization for surgical implants
- Introduction to personalization of surgical implants
- Personalized medical device definitions
- Adoption of personalization in surgery
- Regulation
- Summary and future perspectives
- Index
- Edition: 1
- Published: December 4, 2022
- Imprint: Academic Press
- No. of pages: 924
- Language: English
- Paperback ISBN: 9780128239131
- eBook ISBN: 9780128242186
GP
Gunther Paul
MD