Computational Bioengineering and Bioinformatics Computer Modelling in Bioengineering / [electronic resource] :
edited by Nenad Filipovic.
- 1st ed. 2020.
- VI, 169 p. 99 illus., 86 illus. in color. online resource.
- Learning and Analytics in Intelligent Systems, 11 2662-3455 ; .
- Learning and Analytics in Intelligent Systems, 11 .
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.
9783030436582
10.1007/978-3-030-43658-2 doi
Biomedical engineering.
Computational intelligence.
Biomedical Engineering and Bioengineering.
Computational Intelligence.
R856-857
610.28
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.
9783030436582
10.1007/978-3-030-43658-2 doi
Biomedical engineering.
Computational intelligence.
Biomedical Engineering and Bioengineering.
Computational Intelligence.
R856-857
610.28