Product Overview
Nova Clinical Trial Simulation identify and capture relevant information from articles and papers within the scientific literature. This may be text, images, or numbers. For instance, it could describe a link between certain molecular entities or the time course of a receptor-ligand interaction.
The knowledge gathered is transformed into structured assertions, or claims. Our biomodeling experts evaluate these claims based on the strength of the supporting evidence. This includes factors like the number of peer-reviewed publications and confirmatory experiments.
- These steps generate a detailed annotated systems-diagram with multiple interlinked pathways.
- This structured knowledge model is then translated into mathematical equations and embedded in computer code.
Deployment
- Web based
- Cloud Hosted
Pricing
- Subscription
- License Fee
More Information
The outputs of these equations are linked in a way that reflects their relationship in human physiology.
This produces the knowledge-based mathematical model of the system of interest. It can be used to predict the course of the disease or the effects of a drug candidate on an individual and/or on an entire virtual population of interest – a simulated clinical trial.
About the company
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.
Patients are a scarce and precious resource. Each trial tests just one hypothesis. jinkō offers the ability to test, compare, and optimize trial protocol designs on thousands of digital patients before accruing human subjects. This process informs and de-risks decision-making each step of the way. jinkō helps drug developers bring innovative medicines to market faster. It is also cheaper, and with greater efficiency.
We foster a culture of transparent communication to build trust and accountability. NOVA’s cultural attributes are: integrity, emergent leadership, comfort with ambiguity and intellectual humility.
