What is jinkō? Core concepts and typical project workflows

Learn more here on what jinkō is and what are typical steps of an in-silico trial project using the platform.

Jinkō's core concepts

• 'White-box' simulations: build in-silico trials with full traceability
  From curated data and scientific knowledge behind models to the observation of clinical outcomes,  every asset is linked, humanly-readable and accessible at any time to project members or invited auditors. 
• Collaboration between experts modelers, scientists and trial manager
  While jinkō offers powerful modeling capabilities, it is not its only intent. Jinkō aims indeed at breaking silos between and R&D team, making models, trials and results visualizations accessible to both modeling experts, other scientists (biologists, biostatisticians...) and trial managers. 
• A combination of features and models library to accelerate your research
  Jinkō is the fruit of years of experience from nova's extensive expert team of modelers and specialized scientific software engineers. As a result, jinkō is not only a state-of- the-art modeling & trial simulation software, it also optionally allows to start your project from one of nova's expert models, in research fields such as NSCLC, NASH, HBV... to accelerate your own research with a strong base. 

Typical workflows

Two flows are possibles in jinkō depending on your entry point, which can be starting from creating / uploading a new model, or starting from a model from our library: 

Starting from scratch, a flow would look as such: 

1. Curating scientific data and knowledge to build a model
2. Build a model
3. Setup and run a trial 
4. Observe your results and iterate

While starting from a model from our library, the flow look like this: 

1. Review the model, its documentation and scientific foundations
2. Adapt it to your context of use
3. Setup and run a trial
4. Observe your results and iterate

Follow the links above to get more details on each step, and / or get a video overview below: