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Early diagnosis is half the cure
Fast, reliable, accurate and non-invasive early diagnosis of disease has the potential to transform healthcare and save lives across the whole world
Building on our deep understanding of the underlying scientific issues in diagnostic discovery, we have created a technology platform with two main components.
To find new tests, we collect thousands of blood samples from patients as they present at the clinic. We measure the proteins in the samples using our Multiple Proteoform Monitoring, then feed the data into the Tiger Machine Learning Software, which identities those patients that can be used to predict disease states.
Whilst the initial focus is on diagnostics for urological cancers, the technology platform will soon be applied across a wide range of diseases.
Multiple Proteoform Monitoring
A reliable proteomic processing system for the identification of diagnostic signatures by separating the proteins in blood samples and measuring them using an imager.
The Patented Tiger Machine Learning Software
Developed over more than 10 years by the company. This software represents a breakthrough in the analysis of large proteomic datasets.
Looking for Disease Biomarkers in the Blood
There is an increasing body of scientific evidence that demonstrates the role played by proteins in disease. This evidence reveals how proteins change and can be used to distinguish between those with disease and those without. These biological systems and mechanisms that are related to disease are incredibly complex but the research we have performed so far has already revealed a protein biomarker that has the potential to transform the diagnosis of prostate cancer.