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Book a consultationAudience · data, collaboration and the digital twin
For Research
Our services generate the longitudinal, consented data oncology research needs. Our long-term vision is fundamentally a research programme.
01Data and collaboration
A company with a research spine
Our commercial services generate exactly the kind of longitudinal, consented clinicogenomic data that oncology research needs. Our long-term vision, the computational digital twin, is fundamentally a research programme.
02
Where we collaborate
Longitudinal ctDNA datasets
Serial monitoring produces time-series data on how tumours evolve under treatment, how resistance emerges, and how clonal architecture shifts.
Engine validation
Benchmarking calls, refining oncogenicity classification, and strengthening the curated knowledge base. Published validation is how decision support earns trust.
Academic alignment
Partners in systems biology and computational oncology, with natural bridges for student projects, method development and teaching cases.
03
How we work together
- Co-designed studies with clear data-governance and consent frameworks.
- De-identified data access under approved protocols.
- Shared authorship and transparent reporting of methods and limitations.
04
Toward the digital twin
Every strand feeds one destination.
Comprehensive profiling, serial monitoring and the functional models in our pipeline all feed a validated computational twin of a patient’s cancer, in which therapies can be explored in silico before they are given.
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The digital twin, explained in ninety seconds
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