TrialGuard
60-Day Early Warning for Clinical Trial Retention
Predict patient dropout before it happens. Empower coordinators with AI-driven insights powered by XGBoost and Cox Proportional Hazards survival analysis.
Powered by Cutting-Edge Clinical AI
Three-layer intelligence stack combining statistical survival models, gradient-boosted classifiers, and explainable AI.
Survival Analysis
Cox Proportional Hazards model estimates each patient's dropout timeline, hazard ratio, and survival probability at 30, 60, and 90 days. Kaplan-Meier curves stratified by risk tier.
XGBoost Prediction
Gradient-boosted classifier trained on demographics, visit patterns, and adverse event trends. Optuna hyperparameter tuning across 50 trials maximises ROC-AUC on held-out validation data.
SHAP Explainability
TreeSHAP generates exact feature attributions for every prediction. Waterfall charts, beeswarm plots, and plain-English explanations give coordinators clear, actionable reasons behind each risk score.
How TrialGuard Works
Ingest & Engineer
Upload patient demographics and visit data via CSV or REST API. The pipeline engineers 25+ predictive features: visit frequency trends, adverse event rates, adherence trajectories, and distance risk flags.
Score & Stratify
XGBoost assigns a dropout probability (0–1) at every visit. Cox PH estimates the individual dropout timeline. Patients are stratified into Low / Medium / High / Critical tiers with colour-coded alerts.
Intervene & Retain
Coordinators receive a 60-day dashboard with SHAP-driven explanations and plain-English risk summaries. Log interventions, download PDF reports, and track retention outcomes — before the patient is lost.
Four-Tier Early Warning System
Start Protecting Your Trial Today
Every dropout costs an average of $40,000 and delays trial completion. TrialGuard gives your coordinators a 60-day head start.
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