Abstract: A method of assessing canine expression profiles of miRNA markers and using predictive classification algorithms to diagnose heartworm infection. The analysis of the expression level of specific miRNAs enables early detection of the heartworm infection, including low-burden and male-only infections, which are often missed by antigen tests.

Abstract: A method for differentially assessing and diagnosing a diseased state of chronic kidney disease (CKD) in a subject, comprising the steps of: obtaining a sample from the subject; determining a level of expression of each of a plurality of miRNA molecules within the sample; comparing the level of expression of each miRNA molecule with at least one pre-determined reference level characteristic of a non-diseased subject for each one of the plurality of the miRNA molecules of step, where a deviation of the level of expression of miRNA molecules in comparison with the at least one reference level allows for the diagnosis and/or prognosis of CKD.

Abstract: A method of assessing expression profiles of miRNA markers using predictive classification models to distinguish between non-diseased and diseased mitral valve disease, non-diseased and diseased DCM, non-diseased and diseased HCM. Additionally, an assessment of the same method is provided to discriminate pre-clinical from clinical MMVD or DCM patients. Also provided is a method of differentially diagnosing MMVD patients from DCM patients or from healthy controls.

Abstract: An diagnostic assay for rapidly detecting level of expression of mRNA within low volume or low expression samples by proxy of generated cDNA. The method provides for the detection of cDNA of a diseased subject with at least one pre-determined reference level cDNA characteristic of a non-diseased subject wherein a deviation of the level of expression of said cDNA in comparison with the at least one reference level cDNA allows for the diagnosis and/or prognosis of the disease.

Abstract: A method of assessing expression profiles of miRNA markers using predictive classification models to differentially diagnosing MMVD patients from healthy controls or DCM patients from healthy controls. Additionally, an assessment of the same method to discriminate pre-clinical from clinical MMVD or DCM patients. Also provided is a method of differentially diagnosing MMVD patients from DCM patients or from healthy controls.

Abstract: A method is provided for detecting the presence of mycobacterial infection or disease in a subject, comprising the steps of determining the level of expression of each of a plurality of miRNAs within a sample from a subject and using one or more Artificial Intelligence (AI) model to predict the disease condition of the subject.