Personalized Computational Hemodynamics

Personalized Computational Hemodynamics
Author: Yuri Vassilevski,Maxim Olshanskii,Sergey Simakov,Andrey Kolobov,Alexander Danilov
Publsiher: Academic Press
Total Pages: 280
Release: 2020-04-19
ISBN 10: 0128156546
ISBN 13: 9780128156544
Language: EN, FR, DE, ES & NL

Personalized Computational Hemodynamics Book Review:

Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy offers practices and advances surrounding the multiscale modeling of hemodynamics and their personalization with conventional clinical data. Focusing on three physiological disciplines, readers will learn how to derive a suitable mathematical model and personalize its parameters to account for pathologies and diseases. Written by leading experts, this book mirrors the top trends in mathematical modeling with clinical applications. In addition, the book features the major results of the "Research group in simulation of blood flow and vascular pathologies" at the Institute of Numerical Mathematics of the Russian Academy of Sciences. Two important features distinguish this book from other monographs on numerical methods for biomedical applications. First, the variety of medical disciplines targeted by the mathematical modeling and computer simulations, including cardiology, vascular neurology and oncology. Second, for all mathematical models, the authors consider extensions and parameter tuning that account for vascular pathologies. Examines a variety of medical disciplines targeted by mathematical modeling and computer simulation Discusses how the results of numerical simulations are used to support clinical decision-making Covers hemodynamics relating to various subject areas, including vascular surgery and oncological tumor treatments

Patient specific Hemodynamic Computations Application to Personalized Diagnosis of Cardiovascular Pathologies

Patient specific Hemodynamic Computations  Application to Personalized Diagnosis of Cardiovascular Pathologies
Author: Lucian Mihai Itu,Puneet Sharma,Constantin Suciu
Publsiher: Springer
Total Pages: 227
Release: 2017-05-31
ISBN 10: 3319568531
ISBN 13: 9783319568539
Language: EN, FR, DE, ES & NL

Patient specific Hemodynamic Computations Application to Personalized Diagnosis of Cardiovascular Pathologies Book Review:

Hemodynamic computations represent a state-of-the-art approach for patient-specific assessment of cardiovascular pathologies. The book presents the development of reduced-order multiscale hemodynamic models for coronary artery disease, aortic coarctation and whole body circulation, which can be applied in routine clinical settings for personalized diagnosis. Specific parameter estimation frameworks are introduced for calibrating the parameters of the models and high performance computing solutions are employed to reduce their execution time. The personalized computational models are validated against patient-specific measurements. The book is written for scientists in the field of biomedical engineering focusing on the cardiovascular system, as well as for research-oriented physicians in cardiology and industrial players in the field of healthcare technologies.

Mathematical Modelling in Biomedicine

Mathematical Modelling in Biomedicine
Author: Vitaly Volpert
Publsiher: MDPI
Total Pages: 224
Release: 2021-01-26
ISBN 10: 3039434934
ISBN 13: 9783039434930
Language: EN, FR, DE, ES & NL

Mathematical Modelling in Biomedicine Book Review:

Mathematical modelling in biomedicine is a rapidly developing scientific discipline at the intersection of medicine, biology, mathematics, physics, and computer science. Its progress is stimulated by fundamental scientific questions and by the applications to public health. This book represents a collection of papers devoted to mathematical modelling of various physiological problems in normal and pathological conditions. It covers a broad range of topics including cardiovascular system and diseases, heart and brain modelling, tumor growth, viral infections, and immune response. Computational models of blood circulation are used to study the influence of heart arrhythmias on coronary blood flow and on operating modes for left-ventricle-assisted devices. Wave propagation in the cardiac tissue is investigated in order to show the influence of tissue heterogeneity and fibrosis. The models of tumor growth are used to determine optimal protocols of antiangiogenic and radiotherapy. The models of viral hepatitis kinetics are considered for the parameter identification, and the evolution of viral quasi-species is investigated. The book presents the state-of-the-art in mathematical modelling in biomedicine and opens new perspectives in this passionate field of research.

Trends in Biomathematics Chaos and Control in Epidemics Ecosystems and Cells

Trends in Biomathematics  Chaos and Control in Epidemics  Ecosystems  and Cells
Author: Rubem P. Mondaini
Publsiher: Springer Nature
Total Pages: 395
Release: 2021-07-27
ISBN 10: 303073241X
ISBN 13: 9783030732417
Language: EN, FR, DE, ES & NL

Trends in Biomathematics Chaos and Control in Epidemics Ecosystems and Cells Book Review:

This volume gathers together selected, peer-reviewed papers presented at the BIOMAT 2020 International Symposium, which was virtually held on November 1-6, 2020, with an organization staff based in Rio de Janeiro, Brazil. Topics covered in this volume include infection modeling, with an emphasis on different aspects of the COVID-19 and novel Coronavirus spread; a description of the effectiveness of quarantine measures via dynamic analysis of SLIR model; hemodynamic simulations in time-dependent domains; an optimal control model for the Ebola disease; and the co-existence of chaos and control in the context of biological models. Texts in agroforestry, economic development, and wastewater treatment processes complete this volume. Held every year since 2001, the BIOMAT International Symposium gathers together, in a single conference, researchers from Mathematics, Physics, Biology, and affine fields to promote the interdisciplinary exchange of results, ideas and techniques, promoting truly international cooperation for problem discussion. The 20th edition of the BIOMAT International Symposium has received contributions by authors from 18 countries: Algeria, Brazil, Cameroon, Canada, Chile, China (Hong Kong), Colombia, Germany, Hungary, India, Italy, Morocco, Nigeria, Russia, Senegal, South Africa, USA, and Uzbekistan. Previous BIOMAT volumes with selected works from 2017, 2018, and 2019 were also published by Springer.

Smart Modelling For Engineering Systems

Smart Modelling For Engineering Systems
Author: Margarita N. Favorskaya,Alena V. Favorskaya,Igor B. Petrov,Lakhmi C. Jain
Publsiher: Springer Nature
Total Pages: 302
Release: 2021-02-26
ISBN 10: 9813347090
ISBN 13: 9789813347090
Language: EN, FR, DE, ES & NL

Smart Modelling For Engineering Systems Book Review:

This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets, and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, and high-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.

Biological Control Systems and Disease Modelling

Biological Control Systems and Disease Modelling
Author: Babatunde Ogunnaike,David Bogle,Robert Parker,Julio R. Banga
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2021-06-04
ISBN 10: 2889668517
ISBN 13: 9782889668519
Language: EN, FR, DE, ES & NL

Biological Control Systems and Disease Modelling Book Review:

Personalized Medicine and Neurosurgery

Personalized Medicine and Neurosurgery
Author: M. Yashar S. Kalani,Nicholas Theodore
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2017-11-22
ISBN 10: 2889453367
ISBN 13: 9782889453368
Language: EN, FR, DE, ES & NL

Personalized Medicine and Neurosurgery Book Review:

The Precision Medicine Initiative, which was instituted by President Barack Obama on January 20, 2015, highlighted the importance that advances in genomics and related “-omic” approaches have made to science and medicine, and it set the stage for their federally funded and mandated integration into the delivery of health care. Whether these advances comprise large-scale approaches, such as The Cancer Genome Atlas, which provides a modern classification of cancers based on molecular profiles, or genealogy initiatives, which seek to trace the movement of our early ancestors out of Africa, genomic technology has taken us closer to developing targeted therapies and a refined understanding of our evolutionary journey. It is against this backdrop that we summarized some of the recent advances in the field of precision medicine, or personalized medicine, as they pertain to neurosurgery. In this e-Book collection provided by Frontiers in Surgery: Neurosurgery, we present a collection of articles by leaders in the field of neurosurgery that highlight domains using a personalized approach for the treatment of patients or avenues when personalization is possible and when it will likely alter the care of patients with neurological diseases.

Computational Biomechanics for Medicine

Computational Biomechanics for Medicine
Author: Poul M. F. Nielsen,Adam Wittek,Karol Miller,Barry Doyle,Grand R. Joldes,Martyn P. Nash
Publsiher: Springer
Total Pages: 166
Release: 2018-05-14
ISBN 10: 3319755897
ISBN 13: 9783319755892
Language: EN, FR, DE, ES & NL

Computational Biomechanics for Medicine Book Review:

This volume comprises the latest developments in both fundamental science and patient-specific applications, discussing topics such as: cellular mechanics, injury biomechanics, biomechanics of the heart and vascular system, algorithms of computational biomechanics for medical image analysis, and both patient-specific fluid dynamics and solid mechanics simulations. With contributions from researchers world-wide, Computational Biomechanics for Medicine: Measurments, Models, and Predictions provides an opportunity for specialists in the field to present their latest methodologies and advancements.

Computational Biomechanics of the Heart and Vasculature with Potential Clinical and Surgical Applications

Computational Biomechanics of the Heart and Vasculature with Potential Clinical and Surgical Applications
Author: Dalin Tang,Estefania Peña,Daniela Valdez-Jasso,Zhiyong Li,Youjun Liu
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2022-05-03
ISBN 10: 2889760448
ISBN 13: 9782889760442
Language: EN, FR, DE, ES & NL

Computational Biomechanics of the Heart and Vasculature with Potential Clinical and Surgical Applications Book Review:

Atrial Fibrillation Technology for Diagnosis Monitoring and Treatment

Atrial Fibrillation  Technology for Diagnosis  Monitoring  and Treatment
Author: Jose F. Rodriguez Matas,Omer Berenfeld,Axel Loewe,Valentina Corino,Juan Pablo Martínez
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2022-03-15
ISBN 10: 2889746909
ISBN 13: 9782889746903
Language: EN, FR, DE, ES & NL

Atrial Fibrillation Technology for Diagnosis Monitoring and Treatment Book Review:

Advanced HPC based Computational Modeling in Biomechanics and Systems Biology

Advanced HPC based Computational Modeling in Biomechanics and Systems Biology
Author: Mariano Vázquez,Peter V. Coveney,Hernan Edgardo Grecco,Alfons Hoekstra,Bastien Chopard
Publsiher: Frontiers Media SA
Total Pages: 449
Release: 2019-04-04
ISBN 10: 2889458172
ISBN 13: 9782889458172
Language: EN, FR, DE, ES & NL

Advanced HPC based Computational Modeling in Biomechanics and Systems Biology Book Review:

Artificial Intelligence for Computational Modeling of the Heart

Artificial Intelligence for Computational Modeling of the Heart
Author: Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu
Publsiher: Academic Press
Total Pages: 274
Release: 2019-11-25
ISBN 10: 0128168951
ISBN 13: 9780128168950
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Computational Modeling of the Heart Book Review:

Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient’s heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications. Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation

Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI

Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI
Author: Belén Casas Garcia
Publsiher: Linköping University Electronic Press
Total Pages: 71
Release: 2019-02-15
ISBN 10: 9176852172
ISBN 13: 9789176852170
Language: EN, FR, DE, ES & NL

Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI Book Review:

Current diagnostic tools for assessing cardiovascular disease mostly focus on measuring a given biomarker at a specific spatial location where an abnormality is suspected. However, as a result of the dynamic and complex nature of the cardiovascular system, the analysis of isolated biomarkers is generally not sufficient to characterize the pathological mechanisms behind a disease. Model-based approaches that integrate the mechanisms through which different components interact, and present possibilities for system-level analyses, give us a better picture of a patient’s overall health status. One of the main goals of cardiovascular modelling is the development of personalized models based on clinical measurements. Recent years have seen remarkable advances in medical imaging and the use of personalized models is slowly becoming a reality. Modern imaging techniques can provide an unprecedented amount of anatomical and functional information about the heart and vessels. In this context, three-dimensional, three-directional, cine phase-contrast (PC) magnetic resonance imaging (MRI), commonly referred to as 4D Flow MRI, arises as a powerful tool for creating personalized models. 4D Flow MRI enables the measurement of time-resolved velocity information with volumetric coverage. Besides providing a rich dataset within a single acquisition, the technique permits retrospective analysis of the data at any location within the acquired volume. This thesis focuses on improving subject-specific assessment of cardiovascular function through model-based analysis of 4D Flow MRI data. By using computational models, we aimed to provide mechanistic explanations of the underlying physiological processes, derive novel or improved hemodynamic markers, and estimate quantities that typically require invasive measurements. Paper I presents an evaluation of current markers of stenosis severity using advanced models to simulate flow through a stenosis. Paper II presents a framework to personalize a reduced-order, mechanistic model of the cardiovascular system using exclusively non-invasive measurements, including 4D Flow MRI data. The modelling approach can unravel a number of clinically relevant parameters from the input data, including those representing the contraction and relaxation patterns of the left ventricle, and provide estimations of the pressure-volume loop. In Paper III, this framework is applied to study cardiovascular function at rest and during stress conditions, and the capability of the model to infer load-independent measures of heart function based on the imaging data is demonstrated. Paper IV focuses on evaluating the reliability of the model parameters as a step towards translation of the model to the clinic.

Statistical Atlases and Computational Models of the Heart Imaging and Modelling Challenges

Statistical Atlases and Computational Models of the Heart  Imaging and Modelling Challenges
Author: Oscar Camara,Tommaso Mansi,Mihaela Pop,Kawal Rhode,Maxime Sermesant,Alistair Young
Publsiher: Springer
Total Pages: 296
Release: 2014-12-31
ISBN 10: 3319146785
ISBN 13: 9783319146782
Language: EN, FR, DE, ES & NL

Statistical Atlases and Computational Models of the Heart Imaging and Modelling Challenges Book Review:

This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2014, held in conjunction with MICCAI 2014, in Boston, MA, USA, in September 2014. The 30 revised full papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics such as sections on cardiac image processing; atlas construction; statistical modelling of cardiac function across different patient populations; cardiac mapping; cardiac computational physiology; model customization; atlas based functional analysis; ontological schemata for data and results; integrated functional and structural analyses; as well as the pre-clinical and clinical applicability of these methods.

Computational Fluid Dynamics Indicators to Improve Cardiovascular Pathologies

Computational Fluid Dynamics Indicators to Improve Cardiovascular Pathologies
Author: Eduardo Soudah Prieto
Publsiher: Unknown
Total Pages: 181
Release: 2016
ISBN 10: 1928374650XXX
ISBN 13: OCLC:1120673423
Language: EN, FR, DE, ES & NL

Computational Fluid Dynamics Indicators to Improve Cardiovascular Pathologies Book Review:

In recent years, the study of computational hemodynamics within anatomically complex vascular regions has generated great interest among clinicians. The progress in computational fluid dynamics, image processing and high-performance computing haveallowed us to identify the candidate vascular regions for the appearance of cardiovascular diseases and to predict how this disease may evolve. Medicine currently uses a paradigm called diagnosis. In this thesis we attempt to introduce into medicine the predictive paradigm that has been used in engineering for many years. The objective of this thesis is therefore to develop predictive models based on diagnostic indicators for cardiovascular pathologies. We try to predict the evolution of aortic abdominal aneurysm, aortic coarctation and coronary artery disease in a personalized way for each patient. To understand how the cardiovascular pathology will evolve and when it will become a health risk, it is necessary to develop new technologies by merging medical imaging and computational science. We propose diagnostic indicators that can improve the diagnosis and predict the evolution of the disease more efficiently than the methods used until now. In particular, a new methodology for computing diagnostic indicators based on computational hemodynamics and medical imaging is proposed. We have worked with data of anonymous patients to create real predictive technology that will allow us to continue advancing in personalized medicine and generate more sustainable health systems. However, our final aim is to achieve an impact at a clinical level. Several groups have tried to create predictive models for cardiovascular pathologies, but they have not yet begun to use them in clinical practice. Our objective is to go further and obtain predictive variables to be used practically in the clinical field. It is to be hoped that in the future extremely precise databases of all of our anatomy and physiology will be available to doctors. These data can be used for predictive models to improve diagnosis or to improve therapies or personalized treatments.

Trends in Biomathematics Modeling Optimization and Computational Problems

Trends in Biomathematics  Modeling  Optimization and Computational Problems
Author: Rubem P. Mondaini
Publsiher: Springer
Total Pages: 423
Release: 2018-08-16
ISBN 10: 3319910922
ISBN 13: 9783319910925
Language: EN, FR, DE, ES & NL

Trends in Biomathematics Modeling Optimization and Computational Problems Book Review:

This book brings together carefully selected, peer-reviewed works on mathematical biology presented at the BIOMAT International Symposium on Mathematical and Computational Biology, which was held at the Institute of Numerical Mathematics, Russian Academy of Sciences, in October 2017, in Moscow. Topics covered include, but are not limited to, the evolution of spatial patterns on metapopulations, problems related to cardiovascular diseases and modeled by boundary control techniques in hemodynamics, algebraic modeling of the genetic code, and multi-step biochemical pathways. Also, new results are presented on topics like pattern recognition of probability distribution of amino acids, somitogenesis through reaction-diffusion models, mathematical modeling of infectious diseases, and many others. Experts, scientific practitioners, graduate students and professionals working in various interdisciplinary fields will find this book a rich resource for research and applications alike.

Modeling Biomaterials

Modeling Biomaterials
Author: Josef Málek
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 3030880842
ISBN 13: 9783030880842
Language: EN, FR, DE, ES & NL

Modeling Biomaterials Book Review:

Computational Science ICCS 2020

Computational Science     ICCS 2020
Author: Valeria V. Krzhizhanovskaya,Gábor Závodszky,Michael H. Lees,Jack J. Dongarra,Peter M. A. Sloot,Sérgio Brissos,João Teixeira
Publsiher: Springer Nature
Total Pages: 667
Release: 2020-06-19
ISBN 10: 3030504336
ISBN 13: 9783030504335
Language: EN, FR, DE, ES & NL

Computational Science ICCS 2020 Book Review:

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

Biomechanical Systems Technology Computational Methods

Biomechanical Systems Technology   Computational Methods
Author: Cornelius T. Leondes
Publsiher: World Scientific
Total Pages: 328
Release: 2007
ISBN 10: 9812770046
ISBN 13: 9789812770042
Language: EN, FR, DE, ES & NL

Biomechanical Systems Technology Computational Methods Book Review:

Because of rapid developments in computer technology and computational techniques, advances in a wide spectrum of technologies, coupled with cross-disciplinary pursuits between technology and its application to human body processes, the field of biomechanics continues to evolve. Many areas of significant progress include dynamics of musculoskeletal systems, mechanics of hard and soft tissues, mechanics of bone remodeling, mechanics of blood and air flow, flow-prosthesis interfaces, mechanics of impact, dynamics of man-machine interaction, and more. Thus, the great breadth and significance of the field in the international scene require a well integrated set of volumes to provide a complete coverage of the exciting subject of biomechanical systems technology. World-renowned contributors tackle the latest technologies in an in-depth and readable manner. . Sample Chapter(s). Chapter 1: Deformable Image Registration for Radiation Therapy Planning: Algorithms and Applications (563k). Contents: On Modeling Soft Biological Tissues with the Natural Element Method (M Doblar(r); et al.); The Biomedical Applications of Computed Tomography (H S Tuan & D W Hutmacher); Non-linear Analysis of the Respiratory Pattern (P Caminal et al.); and many other papers. Readership: Academics, researchers and postgraduate students in anatomy, cardiology, orthopaedic, biomechanics and surgery.

Highlights on Hemodynamics

Highlights on Hemodynamics
Author: Theodoros Aslanidis
Publsiher: BoD – Books on Demand
Total Pages: 88
Release: 2018-10-31
ISBN 10: 1789237939
ISBN 13: 9781789237931
Language: EN, FR, DE, ES & NL

Highlights on Hemodynamics Book Review:

In the era of functional hemodynamic monitoring and computational modeling, the present book published by IntechOpen® highlights some interesting aspects in the field. Divided into two sections, it presents hemodynamic topics of special interest. Thus, the authors offer the readers not only a "vigorous" review of the current literature but also a research direction for further advancement.