RESEARCH DIRECTION

From clinical documentation
to rare disease intelligence.

Every physician-reviewed consultation generates structured longitudinal data. Over time, this clinical data layer enables downstream research applications — including synthetic cohort generation for rare disease trials.

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The vision

Structured Clinical Data

Each consultation produces physician-reviewed, structured EMR records with coded diagnoses, medications, labs, and longitudinal visit data. This data substrate grows with every doctor who uses Clinic Space.

Rare Disease Pattern Detection

Longitudinal clinical records enable detection of disease progression patterns across visits. Early validation work on Fabry disease demonstrated the ability to model renal decline trajectories from structured patient data.

Synthetic Cohort Generation

Privacy-safe synthetic patient cohorts generated from peer-reviewed disease progressions using the TTT Framework (Tempo, Topology, Trajectory). FHIR R4 compatible. Currently in validation phase.

Current research status

VALIDATEDFabry disease cohort generation (TTT framework)

VALIDATEDFHIR R4 export with LOINC/SNOMED codes

IN PROGRESSDiagnostic correctness rate optimization (target: ≥85%)

IN PROGRESSWilson disease generator (multi-disease scalability)

PLANNEDReal-world clinical data integration from Clinic Space

PLANNEDPharma pilot partnerships

For pharma & research partners

We are seeking research collaborators and pharma partners for pilot synthetic cohort projects. If you work in rare disease clinical trials, drug development, or health data research, we'd welcome a conversation.