Our precision medicine foundation is centred on multi-omics data integration and the interpretability of biological mechanisms, establishing a technology framework that spans macro-to-micro scales.
Building upon original imaging, pathology, and genomics data, our platform now incorporates:

Identifies early-stage tumour-specific epigenetic variations based on cfDNA methylation patterns (e.g., 5mC/6mb end motif profiles). For instance, our model distinguishes benign from malignant pulmonary nodules, achieving an AUC of 0.923.

Correlates millimetre-scale imaging features (e.g., MRI textures) with underlying gene expression pathways (e.g., immune activation, tumour proliferation signals), imbuing imaging-based AI with biological interpretability. Glioma imaging features, for example, can be classified into "immune/proliferation/therapy-responsive" phenotypes.

Integrates liquid biopsy–derived ctDNA, longitudinal imaging follow-up, and other real-time data streams to model tumour evolutionary trajectories, enabling early detection of clonal evolution and emerging drug resistance.

Utilises interpretable algorithms such as SHAP and DeepLIFT to quantify the contribution of clinical, imaging, and genomic features to decision-making, highlighting key drivers for clinicians.

Links AI-identified imaging features (e.g., tumour border characteristics) with corresponding gene pathways (e.g., EGFR-mutation-related angiogenesis), generating a dual-view “imaging–genetic” diagnostic report to help clinicians understand the biological rationale behind AI-derived insights.
We are upgrading the clinical experience by providing integrated decision support.
Radiomics-Driven Non-Invasive Prediction of Molecular Phenotypes
Molecular Subtype Inference:
Treatment Response Early Warning:
Dynamic Scenario Simulation via Digital TwinsRadiomics-Driven Non-Invasive Prediction of Molecular Phenotypes
Multi-Omics Digital Twin:
Evidence-Based Knowledge Graph Expansion:Drug Resistance Evolution Tracking:
Multimodal Integrated Monitoring of Efficacy and Drug Resistance
MRD Early Warning:
Drug Resistance Evolution Tracking:
Our strategy ensures seamless integration across technologies and broad accessibility for clinical partners and patients alike.

We collaborate with pharmaceutical partners to co-develop companion diagnostic solutions, such as predicting targeted drug efficacy based on patient mutation abundance, to optimise clinical trial enrolment and therapeutic precision.

We ensure seamless compatibility with leading precision medicine equipment (e.g., GE Healthcare’s MAX Apollo PET/CT and Oxford Nanopore sequencers), enabling automated and structured multi-modal data acquisition across clinical and research environments.

Developing edge-computing versions tailored for primary and regional hospitals, supporting offline operation of radiomics analysis models to enhance accessibility and reduce infrastructure dependence.

Collaborating with point-of-care testing (POCT) device manufacturers to enable rapid and precise screening in resource-limited settings, promoting equitable access to precision diagnostics.
Our suite of modular platforms supports rapid, intelligent, and scalable lab operations.

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