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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003322naa a2200301 4500
001oai:slubar.slu.se:69306
003SwePub
008240410s2016 | |||||||||||000 ||eng|
024a https://res.slu.se/id/publ/693062 URI
024a https://doi.org/10.1111/jvp.122782 DOI
040 a (SwePub)slu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Gabrielsson, Johanu Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Inst för biomedicin och veterinär folkhälsovetenskap,Department of Biomedical Science and Veterinary Public Health4 aut0 (Swepub:slu)51178
2451 0a Mathematical modeling and simulation in animal Health. Part I: Moving beyond pharmacokinetics
264 c 2015-11-22
264 1b Wiley,c 2016
264 1b Wiley: 12 months,c 2024
520 a The application of mathematical modeling to problems in animal health has a rich history in the form of pharmacokinetic modeling applied to problems in veterinary medicine. Advances in modeling and simulation beyond pharmacokinetics have the potential to streamline and speed-up drug research and development programs. To foster these goals, a series of manuscripts will be published with the following goals: (i) expand the application of modeling and simulation to issues in veterinary pharmacology; (ii) bridge the gap between the level of modeling and simulation practiced in human and veterinary pharmacology; (iii) explore how modeling and simulation concepts can be used to improve our understanding of common issues not readily addressed in human pharmacology (e.g. breed differences, tissue residue depletion, vast weight ranges among adults within a single species, interspecies differences, small animal species research where data collection is limited to sparse sampling, availability of different sampling matrices); and (iv) describe how quantitative pharmacology approaches could help understanding key pharmacokinetic and pharmacodynamic characteristics of a drug candidate, with the goal of providing explicit, reproducible, and predictive evidence for optimizing drug development plans, enabling critical decision making, and eventually bringing safe and effective medicines to patients. This study introduces these concepts and introduces new approaches to modeling and simulation as well as clearly articulate basic assumptions and good practices. The driving force behind these activities is to create predictive models that are based on solid physiological and pharmacological principles as well as adhering to the limitations that are fundamental to applying mathematical and statistical models to biological systems.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Annan klinisk medicin0 (SwePub)302992 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Other Clinical Medicine0 (SwePub)302992 hsv//eng
710a Sveriges lantbruksuniversitetb Inst för biomedicin och veterinär folkhälsovetenskap4 org
710a Sveriges lantbruksuniversitet
773t Journal of Veterinary Pharmacology and Therapeuticsd : Wileyg 39, s. 213-223q 39<213-223x 0140-7783x 1365-2885
8564 8u https://res.slu.se/id/publ/69306
8564 8u https://doi.org/10.1111/jvp.12278

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