Personalized Computational Hemodynamics

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  • Author : Yuri Vassilevski
  • Publisher : Academic Press
  • Pages : 280 pages
  • ISBN : 0128156546
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Personalized Computational Hemodynamics

Download or Read online Personalized Computational Hemodynamics full in PDF, ePub and kindle. this book written by Yuri Vassilevski and published by Academic Press which was released on 19 April 2020 with total page 280 pages. We cannot guarantee that Personalized Computational Hemodynamics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Personalized Computational Hemodynamics

Personalized Computational Hemodynamics
  • Author : Yuri Vassilevski,Maxim Olshanskii,Sergey Simakov,Andrey Kolobov,Alexander Danilov
  • Publisher : Academic Press
  • Release : 19 April 2020
GET THIS BOOK Personalized Computational Hemodynamics

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

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
  • Publisher : Springer
  • Release : 31 May 2017
GET THIS BOOK Patient specific Hemodynamic Computations Application to Personalized Diagnosis of Cardiovascular Pathologies

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

Mathematical Modelling in Biomedicine

Mathematical Modelling in Biomedicine
  • Author : Vitaly Volpert
  • Publisher : MDPI
  • Release : 26 January 2021
GET THIS BOOK Mathematical Modelling in Biomedicine

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

Trends in Biomathematics

Trends in Biomathematics
  • Author : Rubem P. Mondaini
  • Publisher : Springer Nature
  • Release : 29 November 2021
GET THIS BOOK Trends in Biomathematics

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

Computational Fluid Dynamics Indicators to Improve Cardiovascular Pathologies

Computational Fluid Dynamics Indicators to Improve Cardiovascular Pathologies
  • Author : Eduardo Soudah Prieto
  • Publisher : Unknown
  • Release : 29 November 2021
GET THIS BOOK Computational Fluid Dynamics Indicators to Improve Cardiovascular Pathologies

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.

Personalized Medicine and Neurosurgery

Personalized Medicine and Neurosurgery
  • Author : M. Yashar S. Kalani,Nicholas Theodore
  • Publisher : Frontiers Media SA
  • Release : 22 November 2017
GET THIS BOOK Personalized Medicine and Neurosurgery

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

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
  • Publisher : Springer
  • Release : 14 May 2018
GET THIS BOOK Computational Biomechanics for Medicine

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.

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
  • Publisher : Linköping University Electronic Press
  • Release : 15 February 2019
GET THIS BOOK Towards Personalized Models of the Cardiovascular System Using 4D Flow MRI

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’

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
  • Publisher : Springer
  • Release : 31 December 2014
GET THIS BOOK Statistical Atlases and Computational Models of the Heart Imaging and Modelling Challenges

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

Artificial Intelligence for Computational Modeling of the Heart

Artificial Intelligence for Computational Modeling of the Heart
  • Author : Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu
  • Publisher : Academic Press
  • Release : 25 November 2019
GET THIS BOOK Artificial Intelligence for Computational Modeling of the Heart

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

Trends in Biomathematics Modeling Optimization and Computational Problems

Trends in Biomathematics  Modeling  Optimization and Computational Problems
  • Author : Rubem P. Mondaini
  • Publisher : Springer
  • Release : 16 August 2018
GET THIS BOOK Trends in Biomathematics Modeling Optimization and Computational Problems

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

The Digital Patient

The Digital Patient
  • Author : C. D. Combs,John A. Sokolowski,Catherine M. Banks
  • Publisher : John Wiley & Sons
  • Release : 11 December 2015
GET THIS BOOK The Digital Patient

A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industry’s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed