ClinQSphereX
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Stroke Research Intelligence

Stroke protocols frequently include time windows relative to symptom onset. Time-based criteria are the ones most likely to be unresolvable from stored records, and the interface should say so rather than assume.

Scientific visualization of cerebral vasculature
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

  • Ischemic stroke
  • Hemorrhagic stroke
  • Transient ischemic attack
  • Stroke rehabilitation

Research variables

Synthetic data
  • Age
  • Previous stroke history
  • Blood pressure
  • Time since documented event
  • Relevant comorbidities
  • Anticoagulant medication history

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

Onset timing is often absent from structured data — those criteria remain 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 Stroke
CriterionExpectedIllustrative outcome
Age≥ 18 yearsPASS
Documented cerebrovascular eventPresentFAIL
Time since onsetWithin protocol windowUNKNOWN
Anticoagulant therapyProtocol dependentPASS
Blood pressure< 185/110 mmHgFAIL

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

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