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Computational Bioengineering and Bio...
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Filipovic, Nenad.
Computational Bioengineering and Bioinformatics = Computer Modelling in Bioengineering /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Computational Bioengineering and Bioinformatics/ edited by Nenad Filipovic.
其他題名:
Computer Modelling in Bioengineering /
其他作者:
Filipovic, Nenad.
面頁冊數:
VI, 169 p. 99 illus., 86 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational Intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-43658-2
ISBN:
9783030436582
Computational Bioengineering and Bioinformatics = Computer Modelling in Bioengineering /
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,112662-3447 ;. - Learning and Analytics in Intelligent Systems,1.
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.
ISBN: 9783030436582
Standard No.: 10.1007/978-3-030-43658-2doiSubjects--Topical Terms:
768837
Computational Intelligence.
LC Class. No.: R856-857
Dewey Class. No.: 610.28
Computational Bioengineering and Bioinformatics = Computer Modelling in Bioengineering /
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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.
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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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