What is mechanistic modeling ?

It’s building mathematical models of the physiological and clinical impact of disease and treatment on virtual patients.

Nova’s knowledge-based models comprise:

How does nova build its knowledge-based models?

Nova’s modelers identify and capture relevant information from articles and papers within the scientific literature.

This may be text, images or numbers, for instance describing a link between certain molecular entities, or the time course of a receptor-ligand interaction.

These pieces of knowledge are translated into formatted assertions, or claims.

Our biomodeling experts then rate these claims on the strength of evidence supporting them – such as the number of peer-reviewed publications or confirmatory experiments. They can also be traced back to source documentation, enabling active, transparent knowledge curation.

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.

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.

Solutions for clinical development issues

Applications from discovery to market