Multiscale Modelling in Biomedical Engineering 1st edition by Dimitrios I. Fotiadis, Antonis I. Sakellarios, Vassiliki T. Potsika – Ebook PDF Instant Download/DeliveryISBN: 1119517354, 9781119517351
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Product details:
ISBN-10 : 1119517354
ISBN-13 : 9781119517351
Author : Dimitrios I. Fotiadis, Antonis I. Sakellarios, Vassiliki T. Potsika
In Multiscale Modelling in Biomedical Engineering, an accomplished team of biomedical professionals delivers a robust treatment of the foundation and background of a general computational methodology for multi-scale modeling. The authors demonstrate how this methodology can be applied to various fields of biomedicine, with a particular focus on orthopedics and cardiovascular medicine.
Multiscale Modelling in Biomedical Engineering 1st Table of contents:
1 Systems Biology and Multiscale Modeling
1.1 Introduction
1.2 Systems Biology
1.3 Systems Biology Modeling Goals
1.4 Systems Biology Modeling Approach
1.5 Application of Multiscale Methods in Systems Biology
1.6 The Use of Systems Biology and Multiscale Modeling in Biomedical and Medical Science
1.7 Application of Computational Methods in Biomedical Engineering
1.8 Challenges
References
2 Biomedical Imaging
2.1 Introduction
2.2 X‐ray Radiography
2.3 Computed Tomography
2.4 Diagnostic Ultrasound
2.5 Magnetic Resonance Imaging
2.6 Positron Emission Tomography (PET)
2.7 Single Photon Emission Computed Tomography
2.8 Endoscopy
2.9 Elastography
2.10 Conclusions and Future Trends
References
3 Computational Modeling at Molecular Level
3.1 Introduction
3.2 Introduction to Molecular Mechanics
3.3 Molecular Bioengineering in Areas Critical to Human Health
References
4 Computational Modeling at Cell Level
4.1 Introduction
4.2 Introduction to Cell Mechanics
4.3 Cellular Bioengineering in Areas Critical to Human Health
References
5 Computational Modeling at Tissue Level
5.1 Introduction
5.2 Epithelial Tissue
5.3 Connective Tissue
5.4 Muscle Tissue
5.5 Nervous Tissue
5.6 Conclusion
References
6 Macroscale Modeling at the Organ Level
6.1 Introduction
6.2 The Respiratory System
6.3 The Digestive System
6.4 The Cardiovascular System
6.5 The Urinary System
6.6 The Integumentary System
6.7 The Musculoskeletal System
6.8 The Endocrine System
6.9 The Lymphatic System
6.10 The Nervous System
6.11 The Reproductive System
6.12 Conclusion
References
7 Mechanotransduction Perspective, Recent Progress and Future Challenges
7.1 Introduction
7.2 Methods for Studying Mechanotransduction
7.3 Mathematical Models of Mechanotransduction
7.4 Challenges
References
8 Multiscale Modeling of the Musculoskeletal System
8.1 Introduction
8.2 Structure of the Musculoskeletal System
8.3 Elasticity
8.4 Mechanical Characteristics of Muscles
8.5 Multiscale Modeling Approaches of the Musculoskeletal System
8.6 Conclusion
References
9 Multiscale Modeling of Cardiovascular System
9.1 Introduction
9.2 Cardiovascular Mechanics
9.3 Conclusions
References
10 Risk Prediction
10.1 Introduction
10.2 Medical Data Preprocessing
10.3 Machine Learning and Data Mining
10.4 Explainable Machine Learning
10.5 Example of Predictive Models in Cardiovascular Disease
10.6 Conclusion
References
11 Future Trends
11.1 Virtual Populations
11.2 Digital Twins
11.3 Integrating Multiscale Modeling and Machine Learning
11.4 Conclusion and Future Trends
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