Kooperativer Bibliotheksverbund

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Format: 1 online resource (431 pages)

Edition: 1st ed.

ISBN: 9783031600449

Note: Intro -- Contents -- Isoparametric Formulation of Finite Element Method -- 1 Introduction to the Finite Element Method -- 2 Formulation of 1D Finite Elements and Equilibrium Equations -- 2.1 Truss Finite Element -- 2.2 Equilibrium Equations of the FE Assemblage and Boundary Conditions -- 3 Three-Dimensional (3D) Isoparametric Finite Element -- 3.1 Element Formulation -- 4 Two-Dimensional (2D) Isoparametric Finite Elements -- 4.1 Formulation of the Elements -- 5 Isoparametric Shell Finite Element for General 3D Analysis -- 5.1 Basic Assumptions About Shell Deformation -- 5.2 Formulation of a Four-Node Shell Element -- References -- Finite Element Modeling of Field Problems -- 1 Introduction -- 1.1 General Considerations -- 1.2 The Galerkin Method -- 2 Heat Conduction -- 2.1 The Finite Element Equations -- 3 Diffusion -- 3.1 The Finite Element Equations -- 4 Fluid Flow with Heat and Mass Transfer -- 4.1 The Finite Element Equations -- 5 FE Equations for Modeling Large Change of Fluid Domain-Arbitrary Lagrangian-Eulerian (ALE) Formulation -- 5.1 The ALE Formulation -- 6 Solid-Fluid Interaction -- 6.1 Loose Coupling Method -- 7 Fluid Flow Through Porous Deformable Media -- 7.1 Finite Element Balance Equations -- References -- Heart Physiology and Heart Disease -- 1 Introduction -- 2 Cardiac Conducting System -- 3 Cardiac Blood Flow -- 4 Cardiac Function at Rest -- 5 Cardiac Function in Response to Stress and Exercise -- 5.1 Acute Cardiac Response to Exercise -- 5.2 Chronic Cardiac Adaptation to Exercise -- 6 Cardiac Power Output: An Integrative Measure of Overall Cardiac Function -- 6.1 Clinical Significance of Cardiac Power Output -- 7 Cardiomyopathies -- 7.1 Dilated Cardiomyopathy -- 7.1.1 Epidemiology and Aetiology -- 7.1.2 Pathophysiology -- 7.2 Hypertrophic Cardiomyopathy -- 7.2.1 Epidemiology and Aetiology -- 7.2.2 Pathophysiology. , 7.3 Restrictive Cardiomyopathy -- 7.3.1 Epidemiology and Aetiology -- 7.3.2 Pathophysiology -- 7.3.3 Diagnosis of Cardiomyopathies -- 7.4 Treatment and Management of Cardiomyopathies -- 8 Coronary Artery Disease -- 8.1 Epidemiology and Aetiology -- 8.2 Pathophysiology and Diagnosis -- 8.3 Treatment and Management -- 9 Heart Failure -- 9.1 Epidemiology and Aetiology -- 9.2 Pathophysiology and Diagnosis -- 9.3 Challenges and Opportunities in Heart Failure Diagnosis -- 9.4 Treatment and Management -- References -- In Silico Cardiovascular Explorations: Diverse Approaches, Their Potential, and Constraints -- 1 Ahead of Clinical Trial: Automated Literature Reading and Public Database Content Retrieval -- 1.1 Successful Approach Already Implemented: Automated Available Knowledge Gathering of Molecular Mechanisms of HCM -- 1.2 Another Successful Approach Already Implemented: Identification of Shared Molecular Mechanisms of HCM and Its Clinical Pre... -- 1.3 Potential and Constraints of the Automated Literature Reading and Public Database Content Retrieval -- 2 Step Toward Precision Medicine: Clusters of Patients -- 2.1 Successful Approach Already Implemented: Patient Subgroups -- 2.2 Potential and Constraints of Identification of Patient Subgroups Using Cluster Analysis -- 3 Harnessing Images for Clinical Discovery -- 3.1 Successful Approach Already Implemented: Genotype-Phenotype Associations -- 3.2 Potential and Constraints of Genotype-Phenotype Associations Identification Using Images -- 4 Data Leakage and Illusive Appealing Results: A Trap Easy to Fall Into -- 4.1 An Illustration of Atypical Data Leakage Phenomenon in Clinical Data Context -- 4.2 Repercussions of Data Leakage Phenomenon in Medical Data Context (Illusive Appealing Results) -- 5 Conclusion -- References -- System Biology Modeling for Drug Optimization. , 1 Literature Search on System Biology and Information Technology -- 2 Introduction to Personalized Medicine -- 2.1 Defining Personalized Medicine -- 2.2 Evolution in Healthcare -- 2.3 The Emergence of Genomic Medicine -- 2.4 The Role of System Biology -- 2.5 The Integration of Data and Technology -- 2.6 Challenges and Ethical Considerations -- 2.7 Conclusion and Future Prospects -- 3 The Role of Cellular Biomarkers in Personalized Medicine -- 3.1 Definition and Types of Cellular Biomarkers -- 3.2 The Process of Identifying and Validating New Biomarkers -- 3.3 Case Studies: Cellular Biomarkers in Personalized Therapy -- 3.4 Drug Selection and Individualization -- 3.5 Mechanisms of Drug Action and Interaction with Biological Pathways -- 3.6 How System Biology Aids in Drug Selection for Individual Patients -- 3.7 Pharmacogenomics and Its Role in Drug Selection -- 4 Introduction to Mathematical Modeling in Systems Biology -- 4.1 Definition and Significance -- 4.2 Evolution of Mathematical Modeling in Biology -- 4.3 The Role of Mathematical Models in Systems Biology -- 4.4 Challenges and Advancements -- 4.5 Overview of Mathematical Models in System Biology -- 4.5.1 Role in Understanding Complex Biological Systems -- 4.5.2 Challenges and Future Directions -- 4.6 Case Studies: Application in Drug Efficacy and Safety Prediction -- 4.7 Integration of Patient-Specific Data into Mathematical Models -- 4.7.1 Personalized Medicine and Mathematical Modeling -- 4.7.2 Overcoming Challenges Through Technological Advancements -- 4.7.3 Clinical Implications and Future Prospects -- 4.8 Future Prospects and Conclusion -- 5 Application of Artificial Intelligence in System Biology -- 5.1 The Role of AI in Handling Large Biological Datasets -- 5.2 AI in Drug Discovery and Personalized Medicine -- 5.3 AI Algorithms Used in Drug Development and Personalized Medicine. , 5.3.1 Future Prospects of AI in Enhancing the Precision of Personalized Therapy -- 6 Challenges and Future Prospects in Personalized Medicine -- 6.1 Current Limitations in Personalized Medicine -- 6.2 Emerging Technologies and Their Potential Impact -- 6.3 Ethical and Regulatory Considerations in Personalized Medicine -- 6.4 Future Prospects in Personalized Medicine -- 7 Conclusion -- 7.1 Summary of Key Points -- 7.2 Potential Impact of AI and Computational Technologies on Future Healthcare -- 7.3 Final Thoughts on the Evolution of Personalized Medicine -- References -- Molecular Micro Modeling of the Heart Muscle -- 1 Introduction -- 2 Cardiac Muscle Structure and Function -- 2.1 Structure of Cardiac Muscle -- 2.2 Molecular Structure of Cardiac Muscle Cells -- 2.2.1 Thin Filament Structure -- Thin Filament Regulation by Calcium -- 2.2.2 Thick Filament Structure -- Thick Filament Regulation -- 2.2.3 Auxiliary Sarcomere Proteins -- 2.2.4 Myofilament Elasticity -- 2.2.5 Trabeculae Structure and Elasticity -- 2.3 Crossbridge Kinetics -- 3 Computational Methods Used in Molecular Micro Modeling of Cardiac Muscle Behavior -- 3.1 Molecular Dynamics Modeling -- 3.2 Simulating the Experiments in Solution -- 3.3 Motility Assay Simulation Tools -- 3.4 Sliding Filament Simulations -- 4 Molecular Micro Modeling of the Heart Muscle in Clinical Context -- 4.1 Modeling the Effects of Protein Mutations -- 4.1.1 TnC Mutations -- 4.1.2 Myosin Isoforms and Mutations -- 4.2 Modeling the Effects of Small Molecules -- 5 Future Directions and Conclusion -- References -- Artificial Intelligence Empowering Medical Image Processing -- 1 Introduction to AI in Medical Imaging -- 1.1 Evolution of AI in Healthcare -- 1.2 Significance in Medical Imaging -- 2 Traditional Image Processing or Deep Learning -- 2.1 Deep Learning Techniques for Image Analysis. , 3 Application Use Cases in Medical Image Processing -- 3.1 Coronary Artery Detection in Angiography Images -- 3.2 Spinal Disease Classification in MRI Images -- 3.3 Respiratory Disease Classification in Chest X-Ray Images -- 4 Ethical Considerations and Regulatory Framework -- 5 Conclusion and Future Perspectives -- References -- Use Case: In Silico Tests of Drug-Eluting Bioresorbable Stents for Coronary Artery -- 1 Introduction -- 2 Materials and Methods -- 2.1 Architecture of the InSilc Platform and Communication Between PAK and CAD Modules -- 2.2 Design of Stent Prototypes -- 2.3 Finite Element Computational Procedure for Solid Mechanics -- 2.4 Material Model of BVS Material -- 2.5 Implementation of the Interaction Between Two or More Solid Bodies -- 3 Results and Discussion -- 3.1 Radial Compression Test (Radial Force) -- 3.2 Inflation Test -- 3.3 Three-Point Bending Test -- 3.4 Crush Resistance/Crush Test with Two Plates (Force/Distance) -- 3.5 Local Compression Test -- 3.6 Tensile Test -- 3.7 Kinking Test -- 3.8 Flex 1-3 Test -- 4 Conclusions -- References -- Use Case: Agent-Based Modeling for Atherosclerotic Plaque Progression in Carotid Arteries -- 1 Introduction -- 1.1 Key Components of ABM -- 2 Related Work -- 2.1 Modeling Multicellular Biological Systems -- 2.2 Cardiovascular System Regulations: ABM Applications -- 3 Methodology -- 3.1 CFD with Mass Transport and Mesh Moving -- 3.2 ABM Modeling -- 3.3 Coupling FE CFD with ABM -- 3.4 3D Reconstruction of Patient-Specific Carotid Arteries -- 4 Results -- 4.1 Example of 3D Curved Tube -- 4.2 Example of 3D Patient-Specific Carotid Arteries -- 5 Discussion -- 6 Conclusion -- References -- Use Case: Numerical Study of Hip Implant Topography Influence on Shear Stress Distribution -- 1 Introduction -- 2 Hip Implants -- 2.1 Hip Implant Fixation -- 2.2 Hip Implant Materials -- 2.2.1 Femoral Stem. , 2.2.2 Artificial Femoral Head, Socket, and Cup.

Additional Edition: Print version: Filipović, Nenad In Silico Clinical Trials for Cardiovascular Disease Cham : Springer,c2024 ISBN 9783031600432

Language: English