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008			200311s2020 gw | s |||| 0|eng d
020			_a9783030436582
024	7		_a10.1007/978-3-030-43658-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA164 _b2020 EB
245	0	0	_aComputational Bioengineering and Bioinformatics : _bComputer Modelling in Bioengineering _cedited by Nenad Filipovic
250			_aFirst edition 2020.
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (VI, 169 páginas) _b99 ilustraciones, 86 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aLearning and Analytics in Intelligent Systems _x2662-3447 _v11
490	0		_aEngineering (Springer-11647)
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	3		_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.
988			_aSpringer_Engineering_31032020
650		7	_2embne _9139084 _aBioingeniería
650		7	_2embne _aBioinformática _9160489
700	1		_aFilipovic, Nenad _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030436575
776	0	8	_iPrinted edition: _z9783030436599
776	0	8	_iPrinted edition: _z9783030436605
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-43658-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2020 _dz _ek _zSI