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10.1007/s10439-016-1563-0 http://scihub22266oqcxt.onion/10.1007/s10439-016-1563-0 C4983472!4983472!26885640     free     free     free Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Ann+Biomed+Eng 2016 ; 44 (9): 2591-610 Nephropedia Template TP {{tp|p=26885640|t=2016. Multiscale Modeling in the Clinic: Drug Design and Development |pdf=|usr=}}{{26885640}} gab.com Text Multiscale Modeling in the Clinic: Drug Design and Development JO: Ann Biomed Eng http://www.kidney.de/pget.php?&tw=1&pmid=26885640 #FOAvip A wide range of length and time scales are relevant to pharmacology, especially in drug development, drug design and drug delivery. Therefore, multiscale computational modeling and simulation methods and paradigms that advance the linkage of phenomena occurring at these multiple scales have become increasingly important. Multiscale approaches present in silico opportunities to advance laboratory research to bedside clinical applications in pharmaceuticals research. This is achievable through the capability of modeling to reveal phenomena occurring across multiple spatial and temporal scales, which are not otherwise readily accessible to experimentation. The resultant models, when validated, are capable of making testable predictions to guide drug design and delivery. In this review we describe the goals, methods, and opportunities of multiscale modeling in drug design and development. We demonstrate the impact of multiple scales of modeling in this field. We indicate the common mathematical and computational techniques employed for multiscale modeling approaches used in pharmacometric and systems pharmacology models in drug development and present several examples illustrating the current state-of-the-art models for (i) excitable systems and applications in cardiac disease; (ii) stem cell driven complex biosystems; (iii) nanoparticle delivery, with applications to angiogenesis and cancer therapy; (iv) host-pathogen interactions and their use in metabolic disorders, inflammation and sepsis; and (v) computer-aided design of nanomedical systems. We conclude with a focus on barriers to successful clinical translation of drug development, drug design and drug delivery multiscale models. Twit Text FOAVip Multiscale Modeling in the Clinic: Drug Design and Development ????Ann Biomed Eng http://www.kidney.de/pget.php?&tw=1&pmid=26885640 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26885640 #FOAvip English Wikipedia <ref>{{Cite pmid|26885640}}</ref> Multiscale Modeling in the Clinic: Drug Design and Development #MMPMID26885640 Clancy CE; An G; Cannon WR; Liu Y; May EE; Ortoleva P; Popel AS; Sluka JP; Su J; Vicini P; Zhou X; Eckmann DM Ann Biomed Eng 2016[Sep]; 44 (9): 2591-610 PMID26885640show ga A wide range of length and time scales are relevant to pharmacology, especially in drug development, drug design and drug delivery. Therefore, multiscale computational modeling and simulation methods and paradigms that advance the linkage of phenomena occurring at these multiple scales have become increasingly important. Multiscale approaches present in silico opportunities to advance laboratory research to bedside clinical applications in pharmaceuticals research. This is achievable through the capability of modeling to reveal phenomena occurring across multiple spatial and temporal scales, which are not otherwise readily accessible to experimentation. The resultant models, when validated, are capable of making testable predictions to guide drug design and delivery. In this review we describe the goals, methods, and opportunities of multiscale modeling in drug design and development. We demonstrate the impact of multiple scales of modeling in this field. We indicate the common mathematical and computational techniques employed for multiscale modeling approaches used in pharmacometric and systems pharmacology models in drug development and present several examples illustrating the current state-of-the-art models for (i) excitable systems and applications in cardiac disease; (ii) stem cell driven complex biosystems; (iii) nanoparticle delivery, with applications to angiogenesis and cancer therapy; (iv) host-pathogen interactions and their use in metabolic disorders, inflammation and sepsis; and (v) computer-aided design of nanomedical systems. We conclude with a focus on barriers to successful clinical translation of drug development, drug design and drug delivery multiscale models. äMultiscale Modeling in the Clinic: Drug Design and Development (epmc).pdf DeepDyve Pubget Overpricing