SERVICE DETAIL
CLINICAL BIOINFORMATICS &
LIQUID BIOPSY DIAGNOSTICS
The Algorithmic
Mandate
Traditional tissue biopsies are highly invasive, risky, and provide only a static snapshot of a tumor locked in a single location and time. Furthermore, for over a century, pathology has relied on human visual perception, which is inherently qualitative and subjective.
Our Clinical Bioinformatics services transition diagnostics into a rigorous, quantitative data science, utilizing extreme-sensitivity algorithms to extract actionable insights from non-invasive blood draws and digitized pathology slides.
Core Capabilities & Methodologies
Liquid Biopsy & Fragmentomics
Tumors continuously shed fragments of DNA into the bloodstream. Deconvoluting these ultra-sparse molecular signals from physiological background noise is entirely an algorithmic challenge.
Algorithmic MRD Detection:
We develop extreme-sensitivity pipelines designed to detect Minimal Residual Disease (MRD) by integrating cell-free DNA (cfDNA) mutational profiling with advanced fragmentomics and epigenetic methylation signatures.
Real-Time Clonal Tracking:
We continuously map real-time clonal dynamics and evolutionary shifts in both solid and blood tumours, allowing for the early detection of treatment resistance months before it appears on a conventional PET/CT scan.
Cancers of Unknown Primary (CUP):
We engineer secure, cloud-native variant interpretation algorithms capable of definitive spatial origin mapping by analyzing epigenetic markers in peripheral blood draws.
Digital Pathology & Spatial AI
We engineer spatial AI pipelines using Vision Foundation Models trained on petabytes of Whole Slide Images (WSIs).
Topological Data Analysis:
We transition microscopy from qualitative observation to quantitative data science, spatially resolving the complex, immune-excluded margins of solid tumors.
3D Neovasculature Reconstruction:
Our algorithms can computationally reconstruct aberrant neovasculature and predict underlying molecular driver mutations directly from standard, low-cost H&E stains.
Computational Radiomics
Looking beyond human visual perception, we extract high-dimensional, spatiotemporal imaging biomarkers from standard medical scans (MRI, CT, PET).
Virtual Biopsies:
We directly correlate radiological textures with underlying hypoxia, angiogenesis, and genomic expression profiles, enabling AI-optimized dosimetry for adaptive radiotherapy.
CLINICAL IMPACT
By transforming blood and standard imaging into comprehensive diagnostic matrices, we provide oncologists with continuous, real-time monitoring of disease progression.
This allows for dynamic treatment routing without the need for repeated, painful surgical biopsies.