What makes our platform unique?

Different than genetic testing

The key difference between genetic testing and the molecular testing of urine, is that urine-based testing is accessible, affordable, and easily repeatable where genetic testing is complex and very expensive.  Beyond just the presence or absence of a disease, the Luventix technology will enable disease tracking and management of the severity and recurrence of the disease and make lifestyle intervention possible.​

Urine metabolomic data is rich, extensive and an untapped resource for diagnostics. It’s sometimes perceived as too “messy” in terms of all the signals and the disparate data sets contained within it (environmental, dietary, inorganic compounds etc.). This has limited its use for diagnostic purposes.  The fundamentals of the Luventix technology has been in use for over 15 years in drug discovery, where data sets are even “messier.” We have experimentally demonstrated that the Luventix technology is able to extract clear signals from urine metabolomic data.​

Molecular Test Panel








Total Protein



10.2 mg/dL

96 mEa/L

1.3 mg/dL

70 mg/dL

5.2 mEg/L

135 mEa/L

6.0 g/dL


Well established, generally not -disease specific, blood and other samples lab molecular tests that have been used and perfected over decades

Genetic Test Panel

Highly complex, and very expensive, genetic tests like liquid biopsies detect circulating tumor cells and tumor DNA in blood, feces and other biological samples. In some cases, such tests are only able to produce either a "No Cancer Signal Detected" or "Cancer Signal Detected" result, without specific individual results for each cancer type.


cfDNA sequencing blood-sample test detects the presence of genetic material from cancer tumors - A high cost, high complexity in vitro diagnostic (IVD) liquid biopsy test

Luventix Test Panel










Low cost, low complexity in silico diagnostic (ISD) urine-sample test that detects the presence of individual diseases, including non-cancers and chronic conditions

Uniquely applies network biology to medical classification

Our Luventix Disease Model has a unique ability to apply complex network biology approaches to classify urine samples by medical conditions.  This allows for care and treatment pathways to be triaged. For example, our technology may determine whether a patient has an infectious, cancerous or auto-immune condition, aiding physicians and medical teams to make appropriate decisions and justify more complex diagnostic interventions.  Additionally, our technology has the potential to enable rapid turn-around at the point of care, to facilitate immediate action.​

Proprietary  Modelling 

The Luventix Disease Model is constructed using proprietary mathematical techniques that uniquely replicate a person’s metabolic state, at a point in time, digitally, enabling disease detection, faster, and more cost effectively and efficiently than traditional methods.

  • Simple Input: urine sample is used to create a “Digital Twin” of the person’s metabolic state, which is a mathematical representation of the person's metabolism. ​
  • Classification: our model classifies the “Digital Twin” as either indicating the presence of the disease or the absence of the disease, and it also provides a degree of accuracy for the classification.​
  • Group Theory: The underlying mathematics of our modeling techniques apply Group Theory to identify patterns in the “Digital Twin” that are associated with the presence or absence of the disease.​
  • Hypergraph: our classification model is fundamentally a hypergraph, which makes it better suited for representing complex network biology systems.​
  • Data-driven: our model is trained on data sets of digital representations of persons' metabolic profiles, which allows it to learn the patterns that are associated with the presence or absence of the disease without bias and with minimal human intervention.​
  • -Omics data: our model can be used with any type of -omics data, which is data that describes the molecules in an organism.​


The Luventix Disease Model is data-driven, flexible, and can be used with any type of -omics data. This makes it a valuable tool for researchers and clinicians who are working to develop new methods for diagnosing diseases.​