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003			ES-MaUEC
005			20240314174517.0
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007			cr nn 008mamaa
008			230301s2023 sz | o |||| 0|eng d
020			_a9783031253744
024	7		_a10.1007/978-3-031-25374-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP33.6 .D38 _b2023 EB
245	0	0	_aComputational Physiology : _bSimula Summer School 2022 : Student Reports _cedited by Kimberly J. McCabe
250			_a1st ed 2023
264		1	_aCham _bSpringer Nature Switzerland _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aReports on Computational Physiology _x2730-7743 _v13
505	0		_a1. An Automated Cardiac Constitutive Modelling Framework with -- 2. Evolutionary Strain Energy Functions -- 3. Electromechanical In Silico Testing Alters Predicted Drug-Induced Risk to Develop Torsade de Pointes -- 4. In silico Investigation of Sex-Specific Osteoarthritis in Human Articular Chondrocytes -- 5. Recapitulating Functional Heterogeneity in Electrophysiologically Active Tissues -- 6. Realizing Synaptic Signal Transmission During Astrocyte-Neuron Interactions within the EMI Framework.
520			_aThis open access volume compiles student reports from the 2022 Simula Summer School in Computational Physiology. The reports provide an overview of some tools available to model physiology in excitable tissues across scales and scientific questions. In 2022, Simula held the eighth annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD). Each year, the course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. Group research projects conducted by graduate students from around the world result in reports addressing problems of physiological importance. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier studies. Reports from seven of the summer projects are included as separate chapters. The topics represented include multiscale mechanics, electrophysiology, pharmacology, and machine learning. .
988			_aSpringer_Computer_2023
650		7	_2embne _9138487 _aFisiología _xSimulación por ordenador
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-25374-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eb _zSI