Digital Twin for Clinical Research and Development
Nova’s Jinkō platform creates virtual patient “twins” that mirror real patients’ characteristics and treatment responses. As a leading application of digital twins in healthcare, each virtual twin simulates real-world physiology, disease progression, and therapeutic response with precision – enabling faster, smarter, and more cost-effective drug development.
How Our Digital Twin Technology Works

Data Integration
Combines heterogeneous data sources such as clinical trial data, real-world evidence, molecular profiles, biomarkers, and patient characteristics

Digital Patient Creation
Generates either high-fidelity digital twin patients or synthetic patients, enriched with demographic, disease-specific, and biomarker attributes

Causal Model
Applies biophysical and pharmacological models grounded in the biology of disease and drug mechanisms

Trial Simulation
Runs large-scale simulations of digital patients through trial protocols in minutes
Rethinking Trial Simulations: From Traditional AI to Digital Twins
Feature |
Traditional AI |
Nova’s Causal AI |
Methodology |
|
|
Data Source |
|
|
Strengths |
|
|
Weaknesses |
|
|
Approval |
|
|