Phasevtrials

PhaseV (Clinical Operations / causal site-selection platform) — 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 …

Phasevtrials offers (Alternative, Fundamental, Geospatial) — Not published. Structural estimate: modelled site estate with patient-mix profiles at site level (order 10^3-10^4 characterised sites), live-trial event streams per enrolled patient per study (order 10^5-10^6 events per year across active studies), plus generated synthetic control datasets per study. Confirm modelled-site and patient counts with the company..

Causal site-selection and footprint optimisation (select sites whose patient mix matches the drug's mechanism, not just historical enrolment volume); diversity-plan design and regulator-facing representation evidence; dropout prediction by patient-mix phenotype; trial simulation and scenario planning for timeline/data-quality trade-offs; synthetic-control construction and external-control validation research; pharmacogenomic population-response studies (genomic-modulated efficacy patterns by region); and causal-inference methodology benchmarking — genuine real-world causal-discovery evaluation data that ML researchers use.

The data is with 3 years of history.

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