Gene transcript expression and lipid metabolite abundances are diagnostic biomarkers of sepsis

Host-response analysis of 52 patient-invariant biomarkers, encompassing the inflammatory, metabolic, and adaptive pathways, to rapidly diagnose sepsis with high accuracy. Evaluating 52 patient-invariant biomarkers, leveraging transcriptomics, metabolomics, and lipidomics, in combination with artificial intelligence and machine-learning technology, results are compared against determined reference values to diagnose sepsis.

Host-response analysis is completed in under 30 minutes and requires only 50 uL of whole blood, versus blood culture tests that take up to two days or more and require large blood volumes, which is a problem for neonatal patients.

Furthermore, predictive value in identifying infection in suspected cases of neonatal sepsis with blood-culture negative results has been demonstrated in our research and is an unmet clinical need Profionics is addressing in its technology capabilities.

For the first time doctors will be able to analyse gene-expression and metabolites using AI.