Synthetic Patient Engine

Transmute sensitive Personal Data into secure, legally Anonymous Statistical Assets. The Adraca Engine models multi-dimensional joint probability distributions with Gaussian Copula statistics, certifying re-identification risk strictly below EMA/Health Canada 9% thresholds.

Interface & Capabilities

adraca.network/ui/real-time-r&d-insights

adraca.network/ui/clinical-utility-analytics

adraca.network/ui/sovereign-edge-mesh

adraca.network/ui/differential-privacy-guard

Legal Anonymity Index

Algorithmically guarantees re-identification risks remain below the 0.09 (9%) threshold mandated by EMA Policy 0070 and Health Canada.

Compute on Local CPU

Ditch heavy adversarial networks (GANs). Achieve full covariance extraction on 1M+ rows in minutes using stable Gaussian Copula processing.

EHDS Air-Gapped Trust

Sits seamlessly within Secure Processing Environments (SPE) that prohibit row-level data downloads, enabling authorized release of statistical twins.

Deployment Specifications

Algorithm

Gaussian Copula / TVAE (SDV Framework)

Privacy Metric

Distance to Closest Record (DCR)

Risk Constraint

< 0.09 (EMA Standard)

Compliance

GDPR Recital 26 / EHDS Article 73

adraca_kernel_v4.0 --log-stream

[--:--:--]INITIALIZING SOVEREIGN HEALTH KERNEL...

[--:--:--]LOADING EHR-SOURCE-ENCLAVE: /imports/clinical_rwd.csv...

[--:--:--]SUCCESS: 1,000,000 PATIENT RECORDS INGESTED.

[--:--:--]MODELING MULTI-DIMENSIONAL JOINT PROBABILITY DISTRIBUTIONS...

[--:--:--]COMPUTING GAUSSIAN SPACE COVARIANCE MATRIX [6.4 MINUTES]...

[--:--:--]CALCULATING DISTANCE TO CLOSEST RECORD (DCR) INDEX...

[--:--:--]RUNNING PRIVACY GAUNTLET: RE-IDENTIFICATION RISK = 0.081% [SUCCESS].

[--:--:--]READY FOR SECURE AIR-GAPPED EXPORT.

Establishing Link...

SecureEncrypted