Clinical Operations / Digital Twin Agent
Digital Twin Simulations for Clinical Feasibility, Risk Forecasting, and Trial Optimization
The Clinical Operations / Digital Twin Agent an intelligent simulation platform designed to digitally replicate every critical dimension of a clinical trial – from protocol design to operational execution. Using AI-powered digital twin modeling, it predicts feasibility, identifies risk points, and optimizes trial parameters before the first patient is enrolled.
Pharma R&D Teams
Optimize trial designs before launch, reducing delays and budget overruns
Optimize trial designs before launch, reducing delays and budget overruns
CROs and Clinical
Strategists Assess operational capacity and simulate client trial performance
Strategists Assess operational capacity and simulate client trial performance
Biotech Startups
Validate feasibility for early-stage trials prior to investor submission
Validate feasibility for early-stage trials prior to investor submission
Regulatory and QA Teams
Identify compliance risks before audits or submissions
Identify compliance risks before audits or submissions
- Trial Feasibility Simulation
Creates virtual replicas of clinical trials incorporating patient population dynamics, disease prevalence, site readiness, and investigator capacity. Predicts enrollment timelines, dropout rates, and trial success probabilities using historical trial and demographic data.
- Operational Risk Modeling
Identifies and quantifies CRO fragility, supply chain dependencies, and CMC (Chemistry, Manufacturing & Controls) complexity. Models regulatory bottlenecks, logistical delays, and protocol deviation risks through scenario simulations.
- Adaptive Trial Design Optimization
Uses reinforcement learning and Bayesian optimization to recommend adaptive trial designs, endpoint adjustments, and cohort balancing. Predicts impact of protocol amendments on cost, duration, and regulatory acceptance.
- Clinical Outcome Forecasting
Models patient responses and treatment effects under varying conditions to refine inclusion/exclusion criteria. Integrates with Scientific Evaluation Stack for mechanistic validation of biological and clinical assumptions.
Predictive Precision
Models operational and scientific risk simultaneously
Models operational and scientific risk simultaneously
Proactive Optimization
Prevents costly mid-trial adjustments and delays
Prevents costly mid-trial adjustments and delays
Functional Insight
Integrates R&D, operational, and financial data streams
Integrates R&D, operational, and financial data streams
Scalable & Secure
Built for global, multi-phase clinical portfolios
Built for global, multi-phase clinical portfolios
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