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001 978-3-030-43658-2
003 DE-He213
005 20220801214253.0
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008 200311s2020 sz | s |||| 0|eng d
020 _a9783030436582
_9978-3-030-43658-2
024 7 _a10.1007/978-3-030-43658-2
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC059000
_2bisacsh
072 7 _aMQW
_2thema
082 0 4 _a610.28
_223
245 1 0 _aComputational Bioengineering and Bioinformatics
_h[electronic resource] :
_bComputer Modelling in Bioengineering /
_cedited by Nenad Filipovic.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aVI, 169 p. 99 illus., 86 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLearning and Analytics in Intelligent Systems,
_x2662-3455 ;
_v11
505 0 _aChapter 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.
520 _aThis 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.
650 0 _aBiomedical engineering.
_93292
650 0 _aComputational intelligence.
_97716
650 1 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aComputational Intelligence.
_97716
700 1 _aFilipovic, Nenad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_937351
710 2 _aSpringerLink (Online service)
_937352
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030436575
776 0 8 _iPrinted edition:
_z9783030436599
776 0 8 _iPrinted edition:
_z9783030436605
830 0 _aLearning and Analytics in Intelligent Systems,
_x2662-3455 ;
_v11
_937353
856 4 0 _uhttps://doi.org/10.1007/978-3-030-43658-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76157
_d76157