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10.4103/2041-9414.198911 http://scihub22266oqcxt.onion/10.4103/2041-9414.198911 C5320786!5320786!28250913     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28250913&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genome+Integr 2017 ; 8 (ä): ä Nephropedia Template TP {{tp|p=28250913|t=2017. Biomarkers of Ionizing Radiation Exposure: A Multiparametric Approach |pdf=|usr=}}{{28250913}} gab.com Text Biomarkers of Ionizing Radiation Exposure: A Multiparametric Approach JO: Genome Integr http://www.kidney.de/pget.php?&tw=1&pmid=28250913 #FOAvip Humans are exposed to ionizing radiation not only through background radiation but also through the ubiquitous presence of devices and sources that generate radiation. With the expanded use of radiation in day-to-day life, the chances of accidents or misuse only increase. Therefore, a thorough understanding of the dynamic effects of radiation exposure on biological entities is necessary. The biological effects of radiation exposure on human cells depend on much variability such as level of exposure, dose rate, and the physiological state of the cells. During potential scenarios of a large-scale radiological event which results in mass casualties, dose estimates are essential to assign medical attention according to individual needs. Many attempts have been made to identify biomarkers which can be used for high throughput biodosimetry screening. In this study, we compare the results of different biodosimetry methods on the same irradiated cells to assess the suitability of current biomarkers and push forward the idea of employing a multiparametric approach to achieve an accurate dose and risk estimation. Twit Text FOAVip Biomarkers of Ionizing Radiation Exposure: A Multiparametric Approach ????Genome Integr http://www.kidney.de/pget.php?&tw=1&pmid=28250913 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28250913 #FOAvip English Wikipedia <ref>{{Cite pmid|28250913}}</ref> Biomarkers of Ionizing Radiation Exposure: A Multiparametric Approach #MMPMID28250913 Zeegers D; Venkatesan S; Koh SW; Low GKM; Srivastava P; Sundaram N; Sethu S; Banerjee B; Jayapal M; Belyakov O; Baskar R; Balajee AS; Hande MP Genome Integr 2017[]; 8 (ä): ä PMID28250913show ga Humans are exposed to ionizing radiation not only through background radiation but also through the ubiquitous presence of devices and sources that generate radiation. With the expanded use of radiation in day-to-day life, the chances of accidents or misuse only increase. Therefore, a thorough understanding of the dynamic effects of radiation exposure on biological entities is necessary. The biological effects of radiation exposure on human cells depend on much variability such as level of exposure, dose rate, and the physiological state of the cells. During potential scenarios of a large-scale radiological event which results in mass casualties, dose estimates are essential to assign medical attention according to individual needs. Many attempts have been made to identify biomarkers which can be used for high throughput biodosimetry screening. In this study, we compare the results of different biodosimetry methods on the same irradiated cells to assess the suitability of current biomarkers and push forward the idea of employing a multiparametric approach to achieve an accurate dose and risk estimation. äBiomarkers of Ionizing Radiation Exposure: A Multiparametric Approach (epmc).pdf DeepDyve Pubget Overpricing