ClinQSphereX
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Brain & Neurological Research Intelligence

Neurological protocols mix structured measures with assessment scores that may not exist in routine records. The workflow here is discovery and structured screening support — not diagnosis.

Scientific visualization of a neuron and synaptic connections
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

  • Alzheimer's disease
  • Parkinson's disease
  • Epilepsy
  • Multiple sclerosis

Research variables

Synthetic data
  • Age
  • Documented diagnosis
  • Assessment scores (where recorded)
  • Medication history
  • Relevant comorbidities

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

Assessment scores are commonly missing from structured data.

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 Brain & Neurological
CriterionExpectedIllustrative outcome
Age50–90 yearsPASS
Documented diagnosisPresentFAIL
Cognitive / motor assessment scoreWithin protocol rangeUNKNOWN
Concurrent investigational therapyNonePASS

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