Abstract: The present application relates to processor-implemented methods for determining a diagnostic outcome comprising receiving signals generated by an array of electro-chemical sensors in solution with a biological sample from a subject, each sensor of the array of electro-chemical sensors configured to generate a signal in response to one or more amplification reactions occurring in the solution, the one or more amplification reactions being indicative of the presence of an RNA host-response; processing the signals received from the array of electro-chemical sensors; based on the processing, assigning at least one value to the sample, the at least one value being indicative of a likelihood of the diagnostic outcome; based on the at least one assigned value, determining the diagnostic outcome.

Abstract: A method of identifying a subject having a bacterial infection, which includes discriminating said subject from a subject having a viral infection or an inflammatory disease. Also provided is a gene signature employed in the method and to a bespoke gene chip for use in the method. Further provided are probes and/or primers specific to genes in a signature of the present disclosure.

Abstract: A method of identifying a subject having Kawasaki disease (KD), which includes discriminating the subject from a subject having another condition, for example other infectious and inflammatory conditions, such as those that present similar symptoms to KD. Also provided is a minimal gene signature employed in the method, as well as primers, probes and gene chips for use in the method.

Abstract: A method of identifying a subject having a bacterial infection, which includes discriminating said subject from a subject having a viral infection or an inflammatory disease. Also provided is a gene signature employed in the method and to a bespoke gene chip for use in the method. Further provided are probes and/or primers specific to genes in a signature of the present disclosure.

Abstract: The present disclosure relates to a general method for converting complex gene expression data into a simple, composite disease risk score which can be used for the development of rapid diagnostic tests suitable for clinical use for the determination of the presence of an infection or disease in a host.