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10.1186/s12911-017-0438-0 http://scihub22266oqcxt.onion/10.1186/s12911-017-0438-0 C5391600!5391600!28410607     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Med+Inform+Decis+Mak 2017 ; 17 (ä): ä Nephropedia Template TP {{tp|p=28410607|t=2017. ApreciseKUre: an approach of Precision Medicine in a Rare Disease |pdf=|usr=}}{{28410607}} gab.com Text ApreciseKUre: an approach of Precision Medicine in a Rare Disease JO: BMC Med Inform Decis Mak http://www.kidney.de/pget.php?&tw=1&pmid=28410607 #FOAvip Background: Alkaptonuria (AKU; OMIM:203500) is a classic Mendelian genetic disorder described by Garrod already in 1902. It causes urine to turn black upon exposure to air and also leads to ochronosis as well as early osteoarthritis. Main body of the abstract: Our objective is the implementation of a Precision Medicine (PM) approach to AKU. We present here a novel ApreciseKUre database facilitating the collection, integration and analysis of patient data in order to create an AKU-dedicated ?PM Ecosystem? in which genetic, biochemical and clinical resources can be shared among registered researchers. In order to exploit the ApreciseKUre database, we developed an analytic method based on Pearson?s correlation coefficient and P value that generates as refreshable correlation matrix. A complete statistical analysis is obtained by associating every pair of parameters to examine the dependence between multiple variables at the same time. Short conclusions: Employing this analytic approach, we showed that some clinically used biomarkers are not suitable as prognostic biomarkers in AKU for a more reliable patients? clinical monitoring. We believe this database could be a good starting point for the creation of a new clinical management tool in AKU, which will lead to the development of a deeper knowledge network on the disease and will advance its treatment. Moreover, our approach can serve as a personalization model paradigm for other inborn errors of metabolism or rare diseases in general. Electronic supplementary material: The online version of this article (doi:10.1186/s12911-017-0438-0) contains supplementary material, which is available to authorized users. Twit Text FOAVip ApreciseKUre: an approach of Precision Medicine in a Rare Disease ????BMC Med Inform Decis Mak http://www.kidney.de/pget.php?&tw=1&pmid=28410607 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28410607 #FOAvip English Wikipedia <ref>{{Cite pmid|28410607}}</ref> ApreciseKUre: an approach of Precision Medicine in a Rare Disease #MMPMID28410607 Spiga O; Cicaloni V; Bernini A; Zatkova A; Santucci A BMC Med Inform Decis Mak 2017[]; 17 (ä): ä PMID28410607show ga Background: Alkaptonuria (AKU; OMIM:203500) is a classic Mendelian genetic disorder described by Garrod already in 1902. It causes urine to turn black upon exposure to air and also leads to ochronosis as well as early osteoarthritis. Main body of the abstract: Our objective is the implementation of a Precision Medicine (PM) approach to AKU. We present here a novel ApreciseKUre database facilitating the collection, integration and analysis of patient data in order to create an AKU-dedicated ?PM Ecosystem? in which genetic, biochemical and clinical resources can be shared among registered researchers. In order to exploit the ApreciseKUre database, we developed an analytic method based on Pearson?s correlation coefficient and P value that generates as refreshable correlation matrix. A complete statistical analysis is obtained by associating every pair of parameters to examine the dependence between multiple variables at the same time. Short conclusions: Employing this analytic approach, we showed that some clinically used biomarkers are not suitable as prognostic biomarkers in AKU for a more reliable patients? clinical monitoring. We believe this database could be a good starting point for the creation of a new clinical management tool in AKU, which will lead to the development of a deeper knowledge network on the disease and will advance its treatment. Moreover, our approach can serve as a personalization model paradigm for other inborn errors of metabolism or rare diseases in general. Electronic supplementary material: The online version of this article (doi:10.1186/s12911-017-0438-0) contains supplementary material, which is available to authorized users. äApreciseKUre: an approach of Precision Medicine in a Rare Disease (epmc).pdf DeepDyve Pubget Overpricing