Kooperativer Bibliotheksverbund

UID:

Umfang: 1 Online-Ressource (VIII, 426 p. 143 illus., 123 illus. in color)

Ausgabe: 1st ed. 2024

ISBN: 9783031600449

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60043-2

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60045-6

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60046-3

Sprache: Englisch

DOI: 10.1007/978-3-031-60044-9

URL: Volltext  (URL des Erstveröffentlichers)

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UID:

Umfang: VIII, 426 p. 143 illus., 123 illus. in color. , online resource.

Ausgabe: 1st ed. 2024.

ISBN: 9783031600449

Inhalt: This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field: finite element modeling, system biology modeling for drug optimization, artificial intelligence approach for medical image processing, as well as pharmacokinetic and AI modeling. Part II provides use cases to describe how in silico clinical trials of cardiovascular disease are applied to specific cardiovascular diseases: carotid artery plaque modeling, aorta stenosis modeling, stent biodegradation modeling, surrogate AI model for left ventricle modeling, and more. This book is geared toward upper-level undergraduate and graduate students as well as for researchers in the domains of bioengineering, biomechanics, biomedical engineering and medicine.

Anmerkung: Chapter 1 - Heart physiology and heart diseases, Djordje Jakovljevic, Nenad Filipovic -- Chapter 2 - Finite element modeling, Nenad Filipovic -- Chapter 3 - System biology modeling for drug optimization, Marko Zivanovic, Nenad Filipovic -- Chapter 4 - Artificial intelligence approach for medical image processing, Tijana Sustersic, Nenad Filipovic.-Chapter 5 - Pharmacokinetic and AI modeling, Lazar Velicki, Nenad Filipovic -- Chapter 6 - Molecular micro modeling of heart muscle, Momcilo Prodanovic, Nenad Filipovic -- Chapter 7 - Use case: Risk stratification of cardiomyopathy disease, Lazar Dasic, Nenad Filipovic -- Chapter 8 - Use case: Surrogate AI model for left ventricle modeling, Bogdan Milicevic, Nenad Filipovic -- Chapter 9 - Use case: Carotid artery plaque modeling, Andjela Blagojevic, Nenad Filipovic -- Chapter 10 - Use case: Stent deployment for coronary artery, Miljan Milosevic, Nenad Filipovic -- Chapter 11 - Use case: Balloon deployment for peripheral arteries. Aleksandra Vulovic, Nenad Filipovic -- Chapter 12 - Use case: Aorta stenosis modeling, Smiljana Tomasevic, Nenad Filipovic -- Chapter 13 - Use case: Stent biodegradation modeling, Dalibor Nikolic, Nenad Filipovic.

In: Springer Nature eBook

Weitere Ausg.: Printed edition: ISBN 9783031600432

Weitere Ausg.: Printed edition: ISBN 9783031600456

Weitere Ausg.: Printed edition: ISBN 9783031600463

Sprache: Englisch

DOI: 10.1007/978-3-031-60044-9

URL: https://doi.org/10.1007/978-3-031-60044-9

UID:

Umfang: 1 online resource (431 pages)

Ausgabe: 1st ed.

ISBN: 9783031600449

Anmerkung: 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.

Weitere Ausg.: Print version: Filipović, Nenad In Silico Clinical Trials for Cardiovascular Disease Cham : Springer,c2024 ISBN 9783031600432

Sprache: Englisch