AI & Technology

KerusCloud®

Don’t roll the dice on your clinical trial.

KerusCloud® allowed us to develop our study design to recognize the transformative potential of EXN407 whilst ensuring we account for and minimize any potential risks.

Loic Lhuillier

Chief Operating Officer

Clinical Trial Simulation Software to De-risk Study Design

KerusCloud® is an advanced clinical trial simulation software that helps research teams de-risk studies by design. This cloud-based platform enables you to model and analyze thousands of virtual trial scenarios—optimizing endpoints, recruitment strategies, and estimand frameworks before a real study begins. With KerusCloud®, you get data-backed insights that accelerate development, reduce costs, and increase the probability of trial success.

Optimize patient recruitment

Visualize patient recruitment scenarios: Simulate recruitment rates and site numbers to understand how population choice impacts your study’s length and probability of success.
Forecast study timelines more accurately: Analyze your recruitment strategies in silico to better understand the operational landscape and impact of potential adjustments to recruitment strategies, sample sizes, and decision criteria, ensuring your real trial stays on track.

Explore patient recruitment capabilities

Optimize study designs with advanced simulations 

Stay ahead of regulatory requirements: Ensure study designs comply with ICH E9(R1) guidelines. Incorporate estimand strategies that align with FDA and EMA requirements, keeping your study compliant while delivering results ready for regulatory approval.
Identify the most effective study design: Explore a range of fixed and adaptive study designs in silico to evaluate how they impact study outcomes and enable you to reduce costs, accelerate timelines, and minimize patient burden.
Enhance trial flexibility and manage uncertainty: Use KerusCloud’s probabilistic framework to estimate the likelihood of different outcomes as new data emerges, and refine your development plan accordingly.

Explore design & analysis options

Mimic real-world conditions with synthetic data

Leverage virtual population data: Manage complex virtual datasets and simulate your study in a way that accurately mimics actual clinical trial dynamics.
Access predefined data libraries: Rapidly set up simulations that include virtual patient populations, recruitment scenarios and various adaptive design options.
Streamline trial execution: Save time and resources by creating external control arms, reducing the need for extensive recruitment in clinical trials.
Maintain patient privacy: Enable the sharing of regulated or sensitive data while maintaining privacy and compliance through anonymization.
Address imbalanced or missing data: Generate large, auto-labelled datasets to support predictive modelling, machine learning, and AI so you can address imbalanced data in clinical studies.

Explore dataset generation

Visualize, export, and explore results

Choose the right study design the first time: Use the interactive heatmap to visualize how different decisions affect the study’s probability of success.
Support transparent decision-making: Share synthetic data, recruitment profiles, simulation results, and reports with your team throughout your trial.
Analyze patient populations, recruitment, and trial dynamics: Integrate with R and other analytics tools to create tailored visualizations.