ClinQSphereX
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Cancer Research Intelligence

Oncology eligibility is layered: tumour subtype, stage, biomarker status, prior lines of therapy, performance status and laboratory thresholds all interact. It is the clearest example of why unknown information must stay unknown rather than being guessed.

Scientific visualization of cellular and molecular structures
Illustrative scientific visualization — not patient imagery or a clinical finding.

Screening support only. ClinQSphereX provides research and recruitment workflow support. It does not independently determine clinical eligibility, diagnosis, treatment or enrolment. Candidates are shown as potentially eligible and require researcher review.

Conditions in scope

  • Breast cancer
  • Lung cancer
  • Colorectal cancer
  • Prostate cancer
  • Leukemia
  • Lymphoma

Research variables

Synthetic data
  • Age
  • Disease subtype
  • Stage
  • Biomarker status (where recorded)
  • Previous treatment lines
  • Performance status
  • Laboratory values

Variables are only used when they exist in the underlying dataset. Demonstration records are synthetic and are not real patient data.

Why screening is hard here

Biomarker and staging fields are frequently missing — those criteria stay UNKNOWN.

Clinical trial discovery

Live data

Records are retrieved from the public ClinicalTrials.gov registry when you search. Nothing on this panel is a determination about any individual.

Searching the registry…

Structured eligibility screening

Synthetic data

Protocol text becomes one row per criterion. Each row records the expected value and the observed value, and resolves to PASS, FAIL or UNKNOWN. Missing information stays UNKNOWN — it is never converted into a pass.

Illustrative synthetic screening example for Cancer
CriterionExpectedIllustrative outcome
Histologically confirmed diagnosisPresentPASS
StageII–IVFAIL
Biomarker statusRecordedUNKNOWN
Prior systemic therapy≤ 2 linesPASS
Performance statusECOG 0–1FAIL

Illustrative synthetic research profile. Outcomes shown here demonstrate the display format only; live outcomes are computed inside the workspace from your own data.

The decision stays with a researcher

  1. 01

    Model prediction

    Ranked shortlist with a confidence level.

  2. 02

    Evidence

    Observed value, source and timestamp per criterion.

  3. 03

    Explanation

    Feature contributions behind the prediction.

  4. 04

    Researcher review

    Pending review · Requires more evidence · Not relevant · Potentially relevant.

  5. 05

    Research action

    Outreach, screening visit or exclusion — recorded with the reviewer.

Limitations for this area

Other disease areas