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10.1080/23808993.2016.1174062 http://scihub22266oqcxt.onion/10.1080/23808993.2016.1174062 C4943760!4943760!27430024     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Expert+Rev+Precis+Med+Drug+Dev 2016 ; 1 (3): 245-53 Nephropedia Template TP {{tp|p=27430024|t=2016. Use of big data in drug development for precision medicine |pdf=|usr=}}{{27430024}} gab.com Text Use of big data in drug development for precision medicine JO: Expert Rev Precis Med Drug Dev http://www.kidney.de/pget.php?&tw=1&pmid=27430024 #FOAvip Drug development has been a costly and lengthy process with an extremely low success rate and lack of consideration of individual diversity in drug response and toxicity. Over the past decade, an alternative ?big data? approach has been expanding at an unprecedented pace based on the development of electronic databases of chemical substances, disease gene/protein targets, functional readouts, and clinical information covering inter-individual genetic variations and toxicities. This paradigm shift has enabled systematic, high-throughput, and accelerated identification of novel drugs or repurposed indications of existing drugs for pathogenic molecular aberrations specifically present in each individual patient. The exploding interest from the information technology and direct-to-consumer genetic testing industries has been further facilitating the use of big data to achieve personalized Precision Medicine. Here we overview currently available resources and discuss future prospects. Twit Text FOAVip Use of big data in drug development for precision medicine ????Expert Rev Precis Med Drug Dev http://www.kidney.de/pget.php?&tw=1&pmid=27430024 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27430024 #FOAvip English Wikipedia <ref>{{Cite pmid|27430024}}</ref> Use of big data in drug development for precision medicine #MMPMID27430024 Kim RS; Goossens N; Hoshida Y Expert Rev Precis Med Drug Dev 2016[]; 1 (3): 245-53 PMID27430024show ga Drug development has been a costly and lengthy process with an extremely low success rate and lack of consideration of individual diversity in drug response and toxicity. Over the past decade, an alternative ?big data? approach has been expanding at an unprecedented pace based on the development of electronic databases of chemical substances, disease gene/protein targets, functional readouts, and clinical information covering inter-individual genetic variations and toxicities. This paradigm shift has enabled systematic, high-throughput, and accelerated identification of novel drugs or repurposed indications of existing drugs for pathogenic molecular aberrations specifically present in each individual patient. The exploding interest from the information technology and direct-to-consumer genetic testing industries has been further facilitating the use of big data to achieve personalized Precision Medicine. Here we overview currently available resources and discuss future prospects. äUse of big data in drug development for precision medicine (epmc).pdf DeepDyve Pubget Overpricing