Product Overview
Nova In Silico Jinko is The Modeling and Trial Simulation Software With The Most Comprehensive Disease Model Library.
It is a complete solution for trial simulation & protocol design optimization.
Increase the chances of success for your clinical trial
Get a headstart with a disease models library
Access disease models from nova’s expert modeling team, across a wide range of therapeutic areas.
Run a complete trial in 5 minutes
Test unlimited protocol designs on an endless number of virtual patients. Run complex trials in a few seconds.
Optimize your trial design
Find responder biomarkers, compare eligibility criteria, run advanced analysis and overlay results with your own data.
Deployment
- Web based
- Cloud Hosted
Pricing
- Flat Rate
- Subscription
- License Fee
More Information
All of nova’s unique in-silico modeling expertise in one user-friendly software
Modeling & Simulation
Build your model or edit one from our library with powerful capabilities, simulate a trial’s outcomes in just a few minutes, test unlimited protocol designs on an endless number of virtual patients, iterate, re-sample and optimise your trial design.
Results Analytics
Display simulation results (protocol comparisons, timeseries, aggregated metrics, scatter plots…), visualize population subgroups, explore patient baseline impact on any quantity of interest using tornado plots and perform survival analysis.
Knowledge & Data Management
Consolidate all necessary references and data in one central secured location and curate relevant scientific information with your team. Easily integrate this data with your documentation and models for full simulations traceability.
About the company
Nova In Silico Ai Clinical Trial simulation Software combines the powers of data science, biology and medicine to help predict clinical outcomes. Jinko is the Modeling and Trial Simulation Software With The Most Comprehensive Disease Model Library.
Accelerate and de-risk your clinical trials with digital evidence
- Reduce the duration and number of experiments
- Reduce risk to human subjects through improved trial design
- Significantly reduce clinical trial burden by using simulations
By leveraging the vast amount of knowledge available in biology and medicine with computational models of diseases, we are committed to improving clinical trials efficiency.
