A site-level PATIENT-HETEROGENEITY model layer

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A site-level PATIENT-HETEROGENEITY model layer: for each investigator site, a characterised patient-mix profile (age distribution, BMI, ethnicity, genomic markers, comorbidity prevalence) linked through causal-ML models to trial-outcome predictions — how that particular population modulates efficacy and dropout for a given mechanism of action. Around it: real-time enrolment/progression/dropout streams from live trials (structured as interim-analysis series in open-label studies), site congestion and underperformance scoring, and the synthetic/virtual control-arm datasets generated for comparison. The byproduct is the site-patient-mix-to-outcome linkage — an explicitly causal rather than correlational site graph.