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001			76513
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007			cr nn 008mamaa
008			131127s2014 gw s 000 0 eng d
020			_a9783642397653
024	7		_a10.1007/978-3-642-39765-3 _2doi
050		4	_aRA1211 _b.G54 2014 EB
082	0	4	_a615
100	1		_aGieschke, Ronald _985636 _0Local
245	1	0	_aDevelopment of Innovative Drugs via Modeling with MATLAB : _bA Practical Guide _cby Ronald Gieschke, Daniel Serafin
264		1	_aBerlin, Heidelberg _bSpringer International Publishing _c2014
300			_a1 recurso en línea (XV, 399 p.) _b192 ilustraciones, 112 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aBackground of pharmacologic modeling -- First example of a computational model -- Differential equations in MATLAB -- Pharmacologic modeling -- Drug-disease modeling -- Population analyses -- Clinical trial simulation -- Graphics-based modeling -- Outlook -- Appendix A: Hints to MATLAB programs -- Appendix B: Solution to exercises
520	3		_aThe development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens? Written from the industry perspective and based on many years of experience, this book offers: {u00A7} Concepts for creation of drug-disease models, introduced and supplemented with extensive MATLAB programs {u00A7} Guidance for exploration and modification of these programs to enhance the understanding of key principles {u00A7} Usage of differential equations to pharmacokinetic, pharmacodynamic and (patho-) physiologic problems thereby acknowledging their dynamic nature {u00A7} A range of topics from single exponential decay to adaptive dosing, from single subject exploration to clinical trial simulation, and from empirical to mechanistic disease modeling. Students with an undergraduate mathematical background or equivalent education, interest in life sciences and skills in a high-level programming language such as MATLAB, are encouraged to engage in model-based pharmaceutical research and development
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGERrevisando
650		7	_aToxicología _0comprobar BNE19900983730 _2embne _9140328
650		7	_aFarmacología _xInvestigación _0comprobar BNE19912524474 _2embne _9183058
700	1		_aSerafin, Daniel _985637 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-642-39765-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783642397653
907			_a.b12821317 _b10-10-17 _c01-10-14
998			_am _a_alco _a_vill _b20-09-17 _cm _dz _eu _feng _ggw _h0
945			_aRA1211 .G54 2014 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11550521 _z06-04-17
999			_c76513 _d76513 _x1