AI-powered solutions to aid healthcare professionals in selecting the most appropriate treatments at an early stage
Our core technology utilizes big data science to analyze interconnected gene co-expression networks in cancer, paving the way for quantitative and personalized medicine that enhances diagnosis and treatment strategies.
Backed by over 40 years of foundational scientific discoveries, we are transforming cancer care through innovative diagnostics and a comprehensive understanding of gene expression profiles to improve patient outcomes throughout their treatment journey.
One of the strategies of cancer treatment is to identify which of these hallmarks is causing the cell to become cancerous and then inhibit it.
Traditional biomarker tests, including DNA biomarker tests, are typically dichotomous. A positive result indicates the availability of treatment options, while a negative result concludes the search for potential therapies.
The RNA co-expression test adopts a distinctive approach by identifying the connectivities (pathways) that promote cancerous behavior in order to determine the most suitable treatment targets. Given the presence of multiple pathways, the potential treatment strategies are not limited.