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MediTrials | Precision Research Platform
Advanced Prototype

N-of-1 Trials & Precision Research

A platform for adaptive single-subject research, simulation, and education. Enable evidence generation at the individual level where mass trials fail.

Trial Simulator

Protocol: ABAB-4
Period A Period B Period A Period B
Baseline
Treatment
Baseline
Treatment
Click 'Simulate' to generate data
Est. Feasibility --
👆 Test the Feasibility Engine

Core Purpose

Evidence for the Individual

Precision Research

Support for N-of-1 trials and Single-Case Experimental Designs (SCEDs) where large randomized trials are impractical.

Simulation & Feasibility

Model trial designs, estimate power, and test protocols using Monte Carlo simulations before involving real participants.

Education Sandbox

A safe environment for training clinicians and students using hypothetical disease models and generated participant profiles.

Platform Capabilities

Explore the functional layers of MediTrials.

Protocol Configuration

  • Adaptive Protocols

    Configure run-in periods, washout rules, and stopping criteria. Protocols are first-class entities.

  • Strict Versioning

    Full audit trail of amendments. Version locking ensures data integrity for live trials.

Participant Management

  • Consent Engine

    Scope and purpose binding. Triggers re-consent workflows when protocols change.

  • Screening & Enrollment

    Manage inclusion/exclusion criteria and study-specific identifiers.

Scheduling Engine

Automates period scheduling, intervention switching, and time-based triggers.

Randomisation

Supports block and crossover designs with allocation concealment.

Safety Monitoring

Adverse event recording and SAE flagging attributed to specific trial periods.

Outcomes

Primary/secondary outcomes, PROs, vitals, and time-series logging.

Adherence

Treatment administration tracking and protocol compliance summaries.

Deviation Tracking

Logs washout failures, withdrawals, and protocol deviations.

Feasibility Lab

Support trial planning and design optimisation without involving real participants.

  • Monte Carlo power estimation
  • Effect size & noise modelling
  • Protocol JSON export

Education Sandbox

Safe, non-clinical environment for training.

  • Hypothetical disease models
  • Generated participant profiles (Fictional)
  • "What-if" scenario simulation

Within-Person

Baseline vs. Intervention contrasts. Period-to-period comparison.

Response Modelling

Effect size estimation, trend analysis, and variability assessment.

Interpretation

Narrative summaries and researcher annotations. Interpretive aids, not prescriptions.

Technical Architecture

MediTrials utilizes a logically isolated architecture to ensure separation between live trials, simulations, and education.

Protocol Designer
Trial Dashboard
Core Services (Execution, Analytics, Consent)
Controlled Local Storage
  • Immutable, time-stamped observations
  • Simulation & Education fully offline
  • Explicit data lineage

Governance & Ethics

Ethical Safeguards

Explicit informed consent per study. Separate consent for simulation vs. live trials. Right to withdraw anytime.

Safety & Liability

No automated decisions. Adverse events flagged but not interpreted. Clear separation of research vs. care.

Standards Alignment

CONSORT Extension (N-of-1) WHO Ethics HL7 FHIR Research

Collaborate on Precision Research

Interested in using MediTrials for research, education, or clinical pilot? Reach out to discuss collaboration.