Computational Modeling in Bioengineering and Bioinformatics

Computational Modeling in Bioengineering and Bioinformatics promotes complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, and in the environment, public health, drug design, and so on. It provides a common platform by bridging these two very important and complementary disciplines into an interactive and attractive forum. Chapters cover biomechanics and bioimaging, biomedical decision support system, data mining, personalized diagnoses, bio-signal processing, protein structure prediction, tissue and cell engineering, biomedical image processing, analysis and visualization, high performance computing and sports bioengineering. The book's chapters are the result of many international projects in the area of bioengineering and bioinformatics done at the Research and Development Center for Bioengineering BioIRC and by the Faculty of Engineering at the University of Kragujevac, Serbia. Presents recent advances at the crossroads of biomedical engineering and bioinformatics, one of the hottest areas in biomedical and clinical research Discusses a wide range of leading-edge research topics, including biomechanics and bioimaging, biomedical decision support systems, data mining, personalized diagnoses, bio-signal processing, protein structure prediction, tissue and cell engineering, amongst others Includes coverage of biomechanical, bioengineering and computational methods of treatment and diagnosis

Produk Detail:

  • Author : Nenad Filipovic
  • Publisher : Academic Press
  • Pages : 442 pages
  • ISBN : 0128195843
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKComputational Modeling in Bioengineering and Bioinformatics

Computational Modeling in Bioengineering and Bioinformatics

Computational Modeling in Bioengineering and Bioinformatics
  • Author : Nenad Filipovic
  • Publisher : Academic Press
  • Release : 09 October 2019
GET THIS BOOKComputational Modeling in Bioengineering and Bioinformatics

Computational Modeling in Bioengineering and Bioinformatics promotes complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, and in the environment, public health, drug design, and so on. It provides a common platform by bridging these two very important and complementary disciplines into an interactive and attractive forum. Chapters cover biomechanics and bioimaging, biomedical decision support system, data mining, personalized diagnoses, bio-signal processing, protein structure prediction, tissue and cell engineering, biomedical

Computational Bioengineering and Bioinformatics

Computational Bioengineering and Bioinformatics
  • Author : Nenad Filipovic
  • Publisher : Springer Nature
  • Release : 11 March 2020
GET THIS BOOKComputational Bioengineering and Bioinformatics

This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for disease characterization, and recent advances in areas such as biomechanics, cardiovascular engineering, patient-specific modeling,

Bioinformatics and Biomedical Engineering

Bioinformatics and Biomedical Engineering
  • Author : Ignacio Rojas,Francisco Ortuño
  • Publisher : Springer
  • Release : 19 April 2018
GET THIS BOOKBioinformatics and Biomedical Engineering

This two-volume set LNBI 10813 and LNBI 10814 constitutes the proceedings of the 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018, held in Granada, Spain, in April 2018.The 88 regular papers presented were carefully reviewed and selected from 273 submissions. The scope of the conference spans the following areas: bioinformatics for healthcare and diseases; bioinformatics tools to integrate omics dataset and address biological question; challenges and advances in measurement and self-parametrization of complex biological systems; computational genomics; computational proteomics; computational systems for modelling

Introduction to Integrative Engineering

Introduction to Integrative Engineering
  • Author : Guigen Zhang
  • Publisher : CRC Press
  • Release : 03 March 2017
GET THIS BOOKIntroduction to Integrative Engineering

This textbook is designed for an introductory course at undergraduate and graduate levels for bioengineering students. It provides a systematic way of examining bioengineering problems in a multidisciplinary computational approach. The book introduces basic concepts of multidiscipline-based computational modeling methods, provides detailed step-by-step techniques to build a model with consideration of underlying multiphysics, and discusses many important aspects of a modeling approach including results interpretation, validation, and assessment.

Modeling in Computational Biology and Biomedicine

Modeling in Computational Biology and Biomedicine
  • Author : Frédéric Cazals,Pierre Kornprobst
  • Publisher : Springer Science & Business Media
  • Release : 06 November 2012
GET THIS BOOKModeling in Computational Biology and Biomedicine

Computational biology, mathematical biology, biology and biomedicine are currently undergoing spectacular progresses due to a synergy between technological advances and inputs from physics, chemistry, mathematics, statistics and computer science. The goal of this book is to evidence this synergy by describing selected developments in the following fields: bioinformatics, biomedicine and neuroscience. This work is unique in two respects - first, by the variety and scales of systems studied and second, by its presentation: Each chapter provides the biological or medical

Bioinformatics and Biomedical Engineering

Bioinformatics and Biomedical Engineering
  • Author : Ignacio Rojas,Francisco Ortuño
  • Publisher : Springer
  • Release : 30 March 2017
GET THIS BOOKBioinformatics and Biomedical Engineering

This two volume set LNBI 10208 and LNBI 10209 constitutes the proceedings of the 5th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2017, held in Granada, Spain, in April 2017. The 122 papers presented were carefully reviewed and selected from 309 submissions. The scope of the conference spans the following areas: advances in computational intelligence for critical care; bioinformatics for healthcare and diseases; biomedical engineering; biomedical image analysis; biomedical signal analysis; biomedicine; challenges representing large-scale biological data; computational genomics; computational proteomics; computational systems for modeling

Issues in Bioengineering and Bioinformatics: 2012 Edition

Issues in Bioengineering and Bioinformatics: 2012 Edition
  • Author : Anonim
  • Publisher : ScholarlyEditions
  • Release : 10 January 2013
GET THIS BOOKIssues in Bioengineering and Bioinformatics: 2012 Edition

Issues in Bioengineering and Bioinformatics: 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Biophotonics. The editors have built Issues in Bioengineering and Bioinformatics: 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Biophotonics in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Bioengineering and Bioinformatics: 2012 Edition has been produced by the world’

Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications
  • Author : Khalid Al-Jabery,Tayo Obafemi-Ajayi,Gayla Olbricht,Donald Wunsch
  • Publisher : Academic Press
  • Release : 29 November 2019
GET THIS BOOKComputational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity indices and how to select the appropriate index, and includes

Computational and Visualization Techniques for Structural Bioinformatics Using Chimera

Computational and Visualization Techniques for Structural Bioinformatics Using Chimera
  • Author : Forbes J. Burkowski
  • Publisher : CRC Press
  • Release : 29 July 2014
GET THIS BOOKComputational and Visualization Techniques for Structural Bioinformatics Using Chimera

A Step-by-Step Guide to Describing Biomolecular Structure Computational and Visualization Techniques for Structural Bioinformatics Using Chimera shows how to perform computations with Python scripts in the Chimera environment. It focuses on the three core areas needed to study structural bioinformatics: biochemistry, mathematics, and computation. Understand Important Concepts of Structural Bioinformatics The book covers topics that deal primarily with protein structure and includes many exercises that are grounded in biological problems at the molecular level. The text encourages mathematical analysis by

Computational Biomechanics

Computational Biomechanics
  • Author : Kozaburo Hayashi,Hiromasa Ishikawa
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKComputational Biomechanics

The combination of readily available computing power and progress in numerical techniques has made nonlinear systems - the kind that only a few years ago were ignored as too complex - open to analysis for the first time. Now realistic models of living systems incorporating the nonlinear variation and anisotropic nature of physical properties can be solved numerically on modern computers to give realistically usable results. This has opened up new and exciting possibilities for the fusing of ideas from

Computational Methods in Biomedical Research

Computational Methods in Biomedical Research
  • Author : Ravindra Khattree,Dayanand Naik
  • Publisher : CRC Press
  • Release : 12 December 2007
GET THIS BOOKComputational Methods in Biomedical Research

Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that are used in biomedical research. Written by active researchers in the field, this authoritative collection covers a wide range of topics. It introduces each topic at a basic level, before

Computational Models for Biomedical Reasoning and Problem Solving

Computational Models for Biomedical Reasoning and Problem Solving
  • Author : Chen, Chung-Hao,Cheung, Sen-Ching Samson
  • Publisher : IGI Global
  • Release : 12 April 2019
GET THIS BOOKComputational Models for Biomedical Reasoning and Problem Solving

The results of computational model simulations allow researchers and clinicians to make predictions about what will happen in the biological systems that are being studied in response to changing conditions for a disease or disorder. With a well-developed computational model, researchers and clinicians can better understand the cause of a disease or a disorder and predict treatment results. Computational Models for Biomedical Reasoning and Problem Solving is a critical scholarly publication that provides insightful strategies to developing computational models that

Application of Clinical Bioinformatics

Application of Clinical Bioinformatics
  • Author : Xiangdong Wang,Christian Baumgartner,Denis C. Shields,Hong-Wen Deng,Jacques S Beckmann
  • Publisher : Springer
  • Release : 31 March 2016
GET THIS BOOKApplication of Clinical Bioinformatics

This book elucidates how genetic, biological and medical information can be applied to the development of personalized healthcare, medication and therapies. Focusing on aspects of the development of evidence-based approaches in bioinformatics and computational medicine, including data integration, methodologies, tools and models for clinical and translational medicine, it offers an essential introduction to clinical bioinformatics for clinical researchers and physicians, medical students and teachers, and scientists working with human disease-based omics and bioinformatics. Dr. Xiangdong Wang is a distinguished Professor

Catalyzing Inquiry at the Interface of Computing and Biology

Catalyzing Inquiry at the Interface of Computing and Biology
  • Author : National Research Council,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Committee on Frontiers at the Interface of Computing and Biology
  • Publisher : National Academies Press
  • Release : 01 January 2006
GET THIS BOOKCatalyzing Inquiry at the Interface of Computing and Biology

Advances in computer science and technology and in biology over the last several years have opened up the possibility for computing to help answer fundamental questions in biology and for biology to help with new approaches to computing. Making the most of the research opportunities at the interface of computing and biology requires the active participation of people from both fields. While past attempts have been made in this direction, circumstances today appear to be much more favorable for progress.

A Cell Biologist's Guide to Modeling and Bioinformatics

A Cell Biologist's Guide to Modeling and Bioinformatics
  • Author : Raquell M. Holmes
  • Publisher : John Wiley & Sons
  • Release : 13 February 2008
GET THIS BOOKA Cell Biologist's Guide to Modeling and Bioinformatics

A step-by-step guide to using computational tools to solve problems in cell biology Combining expert discussion with examples that can be reproduced by the reader, A Cell Biologist's Guide to Modeling and Bioinformatics introduces an array of informatics tools that are available for analyzing biological data and modeling cellular processes. You learn to fully leverage public databases and create your own computational models. All that you need is a working knowledge of algebra and cellular biology; the author provides all