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10.1016/j.jacbts.2016.11.010 http://scihub22266oqcxt.onion/10.1016/j.jacbts.2016.11.010 C6034501!6034501!30062151     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       JACC+Basic+Transl+Sci 2017 ; 2 (3): 311-27 Nephropedia Template TP {{tp|p=30062151|t=2017. Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine |pdf=|usr=}}{{30062151}} gab.com Text Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine JO: JACC Basic Transl Sci http://www.kidney.de/pget.php?&tw=1&pmid=30062151 #FOAvip The traditional paradigm of cardiovascular disease research derives insight from large-scale, broadly inclusive clinical studies of well-characterized pathologies. These insights are then put into practice according to standardized clinical guidelines. However, stagnation in the development of new cardiovascular therapies and variability in therapeutic response implies that this paradigm is insufficient for reducing the cardiovascular disease burden. In this state-of-the-art review, we examine 3 interconnected ideas we put forth as key concepts for enabling a transition to precision cardiology: 1) precision characterization of cardiovascular disease with machine learning methods; 2) the application of network models of disease to embrace disease complexity; and 3) using insights from the previous 2 ideas to enable pharmacology and polypharmacology systems for more precise drug-to-patient matching and patient-disease stratification. We conclude by exploring the challenges of applying a precision approach to cardiology, which arise from a deficit of the required resources and infrastructure, and emerging evidence for the clinical effectiveness of this nascent approach. Twit Text FOAVip Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine ????JACC Basic Transl Sci http://www.kidney.de/pget.php?&tw=1&pmid=30062151 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=30062151 #FOAvip English Wikipedia <ref>{{Cite pmid|30062151}}</ref> Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine #MMPMID30062151 Johnson KW; Shameer K; Glicksberg BS; Readhead B; Sengupta PP; Björkegren JL; Kovacic JC; Dudley JT JACC Basic Transl Sci 2017[Jun]; 2 (3): 311-27 PMID30062151show ga The traditional paradigm of cardiovascular disease research derives insight from large-scale, broadly inclusive clinical studies of well-characterized pathologies. These insights are then put into practice according to standardized clinical guidelines. However, stagnation in the development of new cardiovascular therapies and variability in therapeutic response implies that this paradigm is insufficient for reducing the cardiovascular disease burden. In this state-of-the-art review, we examine 3 interconnected ideas we put forth as key concepts for enabling a transition to precision cardiology: 1) precision characterization of cardiovascular disease with machine learning methods; 2) the application of network models of disease to embrace disease complexity; and 3) using insights from the previous 2 ideas to enable pharmacology and polypharmacology systems for more precise drug-to-patient matching and patient-disease stratification. We conclude by exploring the challenges of applying a precision approach to cardiology, which arise from a deficit of the required resources and infrastructure, and emerging evidence for the clinical effectiveness of this nascent approach. äEnabling Precision Cardiology Through Multiscale Biology and Systems M(epmc).pdf DeepDyve Pubget Overpricing