Study Command Center
One workspace per study
Protocol version, eligibility criteria, research sites, candidate pipeline, consent posture, visits, tasks and the study's audit trail.
Platform
ClinQSphereX connects study protocols, clinical data, candidate screening, explainable machine learning and research operations in one human-centered workflow.
End-to-end workflow
- 01Study setup
- 02Clinical data
- 03Candidate discovery
- 04Eligibility screening
- 05AI-assisted analysis
- 06Explainability
- 07Human review
- 08Research action
Modules
Candidate Intelligence
Ranked shortlist with reasons
Candidates are ranked by a deterministic criterion score with per-criterion outcomes and a confidence level. Ranking is not an eligibility decision.
Clinical Data Hub
Synthetic research data today
Participant records with demographics, conditions, medications and structured attributes. FHIR and EHR ingestion are architecture-ready, not connected.
Eligibility Screening
PASS / FAIL / UNKNOWN per criterion
Each inclusion and exclusion criterion is evaluated separately against the study's current protocol version, with the observed value shown as evidence.
Research Operations
The coordinator's day
Participant status, consent, visits, tasks, sites and documents in one pipeline, with a job queue for outreach that retries and dead-letters safely.
Explainability
Why a candidate was suggested
Every score is decomposed into criterion contributions. Contributions describe the model's arithmetic, not causality.
Quantum Research Lab
Experimental, clearly labelled
Site and slot allocation is expressed as a QUBO, solved classically in-app and exported for Qiskit experiments. No quantum advantage is assumed.
Governance & Audit
Every action attributable
Authentication, organisation-scoped roles, and an append-only audit record of who acted, what changed and against which protocol version.
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.