Improving R&D using mechanistic modeling

Nova’s knowledge-based models allow researchers to test multiple hypotheses and ensure that pre-clinical and clinical trials are as targeted and efficient as possible.

Knowledge-based models of disease and treatment effects assemble a wide range of biological and physiological insights and data, enabling powerful simulations of how a candidate drug impacts patients. These models support all stages of R&D, from discovery through development, launch and commercial positioning.

Discovery & preclinical

Use knowledge-based models to simulate the effects of potential treatments or treatment mechanisms on a range of physiological systems.

Model inputs and assumptions can be adjusted to ascertain the strength of a desired effect, and to flag up potential side-effects.

Clinical development

Knowledge-based models can help identify patients most likely to respond to treatment, taking into consideration a range of clinical, behavioural and lifestyle factors.

Use models to refine trial design and patient selection criteria before starting in-person studies.


Demonstrating drugs’ added-benefit is key to commercial success. But capturing the effects of a new treatment over the long term is often unfeasible in real life.

Knowledge-based models provide a solution, allowing developers to simulate treatment impact over a longer time-span, across a range of virtual patient cohorts. These can also be tailored to match particular payers’ covered populations.

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Our platform jinkō

jinkō, the first collaborative clinical trial simulation platform

Work with other experts to explore and simulate treatment impact on a wide range of virtual patients

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