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10.1007/s11538-016-0214-9 http://scihub22266oqcxt.onion/10.1007/s11538-016-0214-9 C5069344!5069344!27714570     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 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bull+Math+Biol 2016 ; 78 (10): 2091-134 Nephropedia Template TP {{tp|p=27714570|t=2016. Mathematical Models for Immunology: Current State of the Art and Future Research Directions |pdf=|usr=}}{{27714570}} gab.com Text Mathematical Models for Immunology: Current State of the Art and Future Research Directions JO: Bull Math Biol http://www.kidney.de/pget.php?&tw=1&pmid=27714570 #FOAvip The advances in genetics and biochemistry that have taken place over the last 10 years led to significant advances in experimental and clinical immunology. In turn, this has led to the development of new mathematical models to investigate qualitatively and quantitatively various open questions in immunology. In this study we present a review of some research areas in mathematical immunology that evolved over the last 10 years. To this end, we take a step-by-step approach in discussing a range of models derived to study the dynamics of both the innate and immune responses at the molecular, cellular and tissue scales. To emphasise the use of mathematics in modelling in this area, we also review some of the mathematical tools used to investigate these models. Finally, we discuss some future trends in both experimental immunology and mathematical immunology for the upcoming years. Twit Text FOAVip Mathematical Models for Immunology: Current State of the Art and Future Research Directions ????Bull Math Biol http://www.kidney.de/pget.php?&tw=1&pmid=27714570 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27714570 #FOAvip English Wikipedia <ref>{{Cite pmid|27714570}}</ref> Mathematical Models for Immunology: Current State of the Art and Future Research Directions #MMPMID27714570 Eftimie R; Gillard JJ; Cantrell DA Bull Math Biol 2016[]; 78 (10): 2091-134 PMID27714570show ga The advances in genetics and biochemistry that have taken place over the last 10 years led to significant advances in experimental and clinical immunology. In turn, this has led to the development of new mathematical models to investigate qualitatively and quantitatively various open questions in immunology. In this study we present a review of some research areas in mathematical immunology that evolved over the last 10 years. To this end, we take a step-by-step approach in discussing a range of models derived to study the dynamics of both the innate and immune responses at the molecular, cellular and tissue scales. To emphasise the use of mathematics in modelling in this area, we also review some of the mathematical tools used to investigate these models. Finally, we discuss some future trends in both experimental immunology and mathematical immunology for the upcoming years. äMathematical Models for Immunology: Current State of the Art and Futur(epmc).pdf DeepDyve Pubget Overpricing