Partner with our elite data science division to discover novel biomarkers, de-risk clinical trials, and seamlessly deploy robust Companion Diagnostics (CdX) into global laboratory workflows.
Translating a novel biomarker from early-stage discovery into an approved, globally accessible diagnostic tool demands rigorous analytical, clinical, and regulatory expertise. Stop relying on “out-of-the-box” algorithms that look impressive in a controlled environment but fail under the intense scrutiny of clinical validation.
Leverage our Data Sciences division as your dedicated translational research engine. Combine sophisticated neural networks with pathologist-led clinical validation to quantify spatial biology with unprecedented reproducibility, transforming complex tissue data into actionable therapeutic insights.
Unify cutting-edge computational power with rigorous clinical pathology. Span the entire diagnostic lifecycle to ensure that every model you build is clinically relevant, analytically sound, and regulatory-ready.
Analyze complex tumor microenvironments using deep learning to uncover hidden spatial signatures. Accurately quantify variables that human observation cannot reliably measure at scale — precise tumor-stroma ratios, immune cell infiltration proximity, and multiplex expression overlaps.
Stress-test models across disparate scanner modalities, varying staining protocols, and highly diverse tissue cohorts. Eliminate inter-observer variability and transform subjective visual grading into precise, quantitative data points.
Navigate the stringent requirements of clinical assay development alongside our experts. Design robust validation frameworks from retrospective cohort studies to prospective clinical trials, accelerating your path to regulatory clearance (FDA / CE-IVD).
In clinical diagnostics, trust is just as critical as accuracy. Regulatory bodies, laboratory directors, and prescribing oncologists demand absolute transparency. Understand exactly why an algorithm made a specific determination before utilizing it to guide patient care.
Rely on models that are inherently explainable. Provide researchers and pathologists with clear, interpretable visual overlays — high-fidelity heatmaps, precise cellular segmentation boundaries, and spatial phenotyping graphs. Map outputs directly to the algorithm's decision-making process and build clinical trust through Honest Authenticity.
An algorithm's true impact is realized only when it can be utilized efficiently by a busy clinical laboratory. Ground your implementation in Humble Confidence by acknowledging that technology must adapt to the laboratory environment, not the other way around. Architect your spatial biology models and CdX tools for universal interoperability.
Deploy format-agnostic software solutions seamlessly into existing Image Management Systems (IMS) and complex laboratory workflows worldwide. Empower your Go-To-Market commercialization strategy by guaranteeing zero-friction integration, ensuring your companion diagnostic rapidly identifies the right patients for life-saving therapies.
AI = More testing. More access. More lives saved.
