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10.1093/aje/kwv228 http://scihub22266oqcxt.onion/10.1093/aje/kwv228 C4681267!4681267!26628513     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Am+J+Epidemiol 2015 ; 182 (12): 977-9 Nephropedia Template TP {{tp|p=26628513|t=2015. Planning for the Future of Epidemiology in the Era of Big Data and Precision Medicine |pdf=|usr=}}{{26628513}} gab.com Text Planning for the Future of Epidemiology in the Era of Big Data and Precision Medicine JO: Am J Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=26628513 #FOAvip We live in the era of genomics and big data. Evaluating the impact on health of large-scale biological, social, and environmental data is an emerging challenge in the field of epidemiology. In the past 3 years, major discussions and plans for the future of epidemiology, including with several recommendations for actions to transform the field, have been launched by 2 institutes within the National Institutes of Health. In the present commentary, I briefly explore the themes of these recommendations and their effects on leadership, resources, cohort infrastructure, and training. Ongoing engagement within the epidemiology community is needed to determine how to shape the evolution of the field and what truly matters for changing population health. We also need to assess how to leverage existing epidemiology resources and develop new studies to improve human health. Readers are invited to examine these recommendations, consider others that might be important, and join in the conversation about the future of epidemiology. Twit Text FOAVip Planning for the Future of Epidemiology in the Era of Big Data and Precision Medicine ????Am J Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=26628513 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26628513 #FOAvip English Wikipedia <ref>{{Cite pmid|26628513}}</ref> Planning for the Future of Epidemiology in the Era of Big Data and Precision Medicine #MMPMID26628513 Khoury MJ Am J Epidemiol 2015[Dec]; 182 (12): 977-9 PMID26628513show ga We live in the era of genomics and big data. Evaluating the impact on health of large-scale biological, social, and environmental data is an emerging challenge in the field of epidemiology. In the past 3 years, major discussions and plans for the future of epidemiology, including with several recommendations for actions to transform the field, have been launched by 2 institutes within the National Institutes of Health. In the present commentary, I briefly explore the themes of these recommendations and their effects on leadership, resources, cohort infrastructure, and training. Ongoing engagement within the epidemiology community is needed to determine how to shape the evolution of the field and what truly matters for changing population health. We also need to assess how to leverage existing epidemiology resources and develop new studies to improve human health. Readers are invited to examine these recommendations, consider others that might be important, and join in the conversation about the future of epidemiology. äPlanning for the Future of Epidemiology in the Era of Big Data and Pre(epmc).pdf DeepDyve Pubget Overpricing