Computational Bioengineering and Bioinformatics : Computer Modelling in Bioengineering / edited by Nenad Filipovic
Contributor(s): SpringerLink (Online service)
| Filipovic, Nenad, editor
Material type:
E-bookSeries: (Learning and Analytics in Intelligent Systems, 2662-3447; 11); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2020Edition: First edition 2020.Description: 1 recurso en línea (VI, 169 páginas) : 99 ilustraciones, 86 ilustraciones a color.ISBN: 9783030436582.Subject: Bioingeniería
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA164 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.22042047 |
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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