Applications from
discovery to market

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.

Post-approval 

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.

Discover jinkō

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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