We hypothesised that computational modelling applied to bacteria-induced (CRP, PCT, interleukin 6 (IL-6), the urinary tract infection marker neutrophil gelatinase-associated lipocalin-2 (NGAL—also known as Lipocalin-2 or HNL)) [1,2,8,16,30,31,32,33], and virus-induced (MxA, TRAIL, IP-10) [16,22,24,26] markers selected based on their reported performance could improve the diagnosis of SBI. Here, IL6 is linked to urinary tract infection.