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Computational Bioengineering and Bioinformatics [electronic resource] : Computer Modelling in Bioengineering / edited by Nenad Filipovic.

Contributor(s): Filipovic, Nenad [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Learning and Analytics in Intelligent Systems: 11Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: VI, 169 p. 99 illus., 86 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030436582.Subject(s): Biomedical engineering | Computational intelligence | Biomedical Engineering and Bioengineering | Computational IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 610.28 Online resources: Click here to access online
Contents:
Chapter 1: Tuning Cooperativity of Calcium Activation in Cardiac Muscle -- Chapter 2: Application of Composite Smeared Finite Element Model in Drug Delivery inside Organs -- Chapter 3: Role of atomic and molecular non-observable properties in the understanding and description of real observables of the chemical systems -- Chapter 4: Effect of hip implant surface modification on shear stress distribution -- Chapter 5: Medical Image Processing using Xilinx System Generator -- Chapter 6: Computer Assisted Analysis of the Hepatic Spheroid Formation.
In: Springer Nature eBookSummary: 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, population-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for researchers, medical and bioengineering students, and medical device and software experts.
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Chapter 1: Tuning Cooperativity of Calcium Activation in Cardiac Muscle -- Chapter 2: Application of Composite Smeared Finite Element Model in Drug Delivery inside Organs -- Chapter 3: Role of atomic and molecular non-observable properties in the understanding and description of real observables of the chemical systems -- Chapter 4: Effect of hip implant surface modification on shear stress distribution -- Chapter 5: Medical Image Processing using Xilinx System Generator -- Chapter 6: Computer Assisted Analysis of the Hepatic Spheroid Formation.

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, population-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for researchers, medical and bioengineering students, and medical device and software experts.

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