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

Trends in Biomathematics
Author: Rubem P. Mondaini
Publsiher: Springer Nature
Total Pages: 391
Release: 2021
ISBN 10: 303073241X
ISBN 13: 9783030732417
Language: EN, FR, DE, ES & NL

Trends in Biomathematics 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.

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:

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.

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.

Quality Assurance in Healthcare Service Delivery Nursing and Personalized Medicine Technologies and Processes

Quality Assurance in Healthcare Service Delivery  Nursing and Personalized Medicine  Technologies and Processes
Author: Lazakidou, Athina
Publsiher: IGI Global
Total Pages: 302
Release: 2011-09-30
ISBN 10: 1613501218
ISBN 13: 9781613501214
Language: EN, FR, DE, ES & NL

Quality Assurance in Healthcare Service Delivery Nursing and Personalized Medicine Technologies and Processes Book Review:

Quality of life is difficult to define and even more difficult to measure; as such, outcomes from nursing in continuing care are not easily articulated. Quality Assurance in Healthcare Service Delivery, Nursing and Personalized Medicine: Technologies and Processes offers a framework for measuring quality of service in the healthcare industry as it pertains to nursing, with insight into how new technologies and the design of personalized medicine have improved quality of care and quality of life. Assessment and feedback are a vital part of developing and designing personalized medicine, and this book details case studies and the latest research in the field of healthcare service delivery assessment. In addition to describing assessment methodology, the book is also a compendium of the latest research into new medical technologies.

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.

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

Mathematical Modeling and Computational Intelligence in Engineering Applications

Mathematical Modeling and Computational Intelligence in Engineering Applications
Author: Antônio José da Silva Neto,Orestes Llanes Santiago,Geraldo Nunes Silva
Publsiher: Springer
Total Pages: 179
Release: 2016-08-12
ISBN 10: 331938869X
ISBN 13: 9783319388694
Language: EN, FR, DE, ES & NL

Mathematical Modeling and Computational Intelligence in Engineering Applications Book Review:

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

Patient Specific Modeling of the Cardiovascular System

Patient Specific Modeling of the Cardiovascular System
Author: Roy C.P. Kerckhoffs
Publsiher: Springer Science & Business Media
Total Pages: 240
Release: 2010-09-03
ISBN 10: 9781441966919
ISBN 13: 1441966919
Language: EN, FR, DE, ES & NL

Patient Specific Modeling of the Cardiovascular System Book Review:

Peter Hunter Computational physiology for the cardiovascular system is entering a new and exciting phase of clinical application. Biophysically based models of the human heart and circulation, based on patient-specific anatomy but also informed by po- lation atlases and incorporating a great deal of mechanistic understanding at the cell, tissue, and organ levels, offer the prospect of evidence-based diagnosis and treatment of cardiovascular disease. The clinical value of patient-specific modeling is well illustrated in application areas where model-based interpretation of clinical images allows a more precise analysis of disease processes than can otherwise be achieved. For example, Chap. 6 in this volume, by Speelman et al. , deals with the very difficult problem of trying to predict whether and when an abdominal aortic aneurysm might burst. This requires automated segmentation of the vascular geometry from magnetic re- nance images and finite element analysis of wall stress using large deformation elasticity theory applied to the geometric model created from the segmentation. The time-varying normal and shear stress acting on the arterial wall is estimated from the arterial pressure and flow distributions. Thrombus formation is identified as a potentially important contributor to changed material properties of the arterial wall. Understanding how the wall adapts and remodels its material properties in the face of changes in both the stress loading and blood constituents associated with infl- matory processes (IL6, CRP, MMPs, etc.

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:

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.

The Digital Patient

The Digital Patient
Author: C. D. Combs,John A. Sokolowski,Catherine M. Banks
Publsiher: John Wiley & Sons
Total Pages: 336
Release: 2015-12-11
ISBN 10: 1118952774
ISBN 13: 9781118952771
Language: EN, FR, DE, ES & NL

The Digital Patient Book Review:

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 based solely on new information from all the “omics” fields; it also includes systems analysis, Big Data, and the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers. The Digital Patient: Advancing Healthcare, Research, and Education addresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multiscale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes: The visible human The physiological human The virtual human Research in systems biology Multi-scale modeling Personalized medicine Self-quantification Visualization Computational modeling Interdisciplinary collaboration The Digital Patient: Advancing Healthcare, Research, and Education is a useful reference for simulation professionals such as clinicians, medical directors, managers, simulation technologists, faculty members, and educators involved in research and development in the life sciences, physical sciences, and engineering. The book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization.

Personalized Psychiatry

Personalized Psychiatry
Author: Ives Cavalcante Passos,Benson Mwangi,Flávio Kapczinski
Publsiher: Springer
Total Pages: 180
Release: 2019-02-12
ISBN 10: 3030035530
ISBN 13: 9783030035532
Language: EN, FR, DE, ES & NL

Personalized Psychiatry Book Review:

This book integrates the concepts of big data analytics into mental health practice and research. Mental disorders represent a public health challenge of staggering proportions. According to the most recent Global Burden of Disease study, psychiatric disorders constitute the leading cause of years lost to disability. The high morbidity and mortality related to these conditions are proportional to the potential for overall health gains if mental disorders can be more effectively diagnosed and treated. In order to fill these gaps, analysis in science, industry, and government seeks to use big data for a variety of problems, including clinical outcomes and diagnosis in psychiatry. Multiple mental healthcare providers and research laboratories are increasingly using large data sets to fulfill their mission. Briefly, big data is characterized by high volume, high velocity, variety and veracity of information, and to be useful it must be analyzed, interpreted, and acted upon. As such, focus has to shift to new analytical tools from the field of machine learning that will be critical for anyone practicing medicine, psychiatry and behavioral sciences in the 21st century. Big data analytics is gaining traction in psychiatric research, being used to provide predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Personalized Psychiatry – Big Data Analytics in Mental Health provides a unique opportunity to showcase innovative solutions tackling complex problems in mental health using big data and machine learning. It represents an interesting platform to work with key opinion leaders to document current achievements, introduce new concepts as well as project the future role of big data and machine learning in mental health.

Personalized Multi Scale Modeling of the Atria Heterogeneities Fiber Architecture Hemodialysis and Ablation Therapy

Personalized Multi Scale Modeling of the Atria  Heterogeneities  Fiber Architecture  Hemodialysis and Ablation Therapy
Author: Martin Wolfgang Krüger
Publsiher: KIT Scientific Publishing
Total Pages: 318
Release: 2013
ISBN 10: 9783866449480
ISBN 13: 3866449488
Language: EN, FR, DE, ES & NL

Personalized Multi Scale Modeling of the Atria Heterogeneities Fiber Architecture Hemodialysis and Ablation Therapy Book Review:

Personalized Medicine in Anesthesia Pain and Perioperative Medicine

Personalized Medicine in Anesthesia  Pain and Perioperative Medicine
Author: Ali Dabbagh
Publsiher: Springer Nature
Total Pages: 398
Release: 2020-09-21
ISBN 10: 3030535258
ISBN 13: 9783030535254
Language: EN, FR, DE, ES & NL

Personalized Medicine in Anesthesia Pain and Perioperative Medicine Book Review:

This book discusses the current and future impact of cellular and molecular medicine (CMM) on anesthesiology and perioperative medicine. It covers the topic from a translational perspective and describes the relevance of CMM to daily clinical practice. Taking a bench-to-bedside approach, chapters examine topics including perioperative acute and chronic management, perioperative organ protection, and novel pharmaceuticals. Personalized Medicine in Anesthesia, Pain and Perioperative Medicine is aimed at anesthesiologists and pain physicians, and will also be of interest to pharmacists and those working in cellular and molecular medicine.