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Omics Data · Translational scientists

CuRE Cyto

Translational data layer — genomics/omics, imaging, and cytogenetics linked to OMOP person_id.

Part of Translational

What it does

Translational data layer — genomics/omics, imaging, and cytogenetics linked to OMOP person_id. The bridge between molecular, imaging, cytogenetic, and OMOP clinical data — no other layer in the platform connects these signals to outcomes.

Key capabilities

  • Genomics / omics metadata + file storage
  • DICOM + non-DICOM imaging
  • Whole-slide-imaging (WSI) deep-zoom viewer — DICOM-WSI + non-DICOM gigapixel pyramidal slides, governed tile serving
  • Cytogenetics file storage
  • Translational metadata linking assays to OMOP person_id
  • Cross-modal AI Q&A grounded in the subject's governed facts, with citations
  • Biospecimen / biorepository tracking
  • Genomic variant interpretation (ACMG/ClinVar/OncoKB)
  • Quantitative imaging biomarkers (volumetric / radiomics)

What sets it apart

  • The bridge between molecular, imaging, cytogenetic, and OMOP clinical data — no other layer in the platform connects these signals to outcomes.
  • Ask a natural-language question across imaging, omics, and cytogenetics and get a cited answer grounded only in the subject's governed facts — no fact leaves the gateway.
  • Digital pathology reads at diagnostic fidelity: a whole-slide deep-zoom viewer pans and zooms gigapixel DICOM-WSI and non-DICOM slides through the governed tile boundary — no raw object-store path, no separate pathology viewer to license.
  • GA4GH-style large-file access, quantitative imaging biomarkers, biospecimen chain-of-custody, and genomic variant interpretation extend the translational layer.
  • Handles both DICOM (radiology, pathology) and the long tail of non-DICOM imaging.
  • Assay results land already linked to person, specimen, and timepoint — translational analysis starts without a data-engineering project.
  • The preclinical biomarker substrate links bench molecular signals to person_id — the upstream anchor as the Translational bundle extends toward first-in-human IND (ADR-PLT-100).
CuRE Cyto · ISCN karyotype parsing
Live demo — synthetic data, runs in your browser

Parse an ISCN karyotype string, live

Paste a free-text ISCN karyotype — a standard or complex karyotype, or a FISH result — and watch CuRE Cyto parse it into structured, queryable data in your browser: chromosome count, sex, abnormality types, breakpoints, and cell counts.

Try:

Enter an ISCN string above or click an example to see it parsed.

This is a lightweight demo — for full ISCN 2016/2020 parsing, visit cyto.principia.health

Why this is more than a toy

This is the same ISCN 2016 / 2020 parser CuRE Cyto uses to turn free-text cytogenetics nomenclature into structured JSON — chromosome counts, sex, abnormality types, breakpoints, and cell counts — ready for a registry, database, or analytic pipeline. It supports traditional karyotypes, FISH results, and complex nomenclature, and runs entirely client-side on whatever string you enter; nothing leaves the page.

Request a demo

See CuRE Cyto in action

Every research ecosystem is unique. Let's discuss how CuRE can be configured for your needs.

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