Improving clinical trial efficacy,
one disease at a time.
Untangling Biological Complexity
Simmunome is at the leading edge of leveraging Machine Learning towards unraveling biological complexity. We transform physiological systems into machine-readable systems.
Our approach unlocks the true potential of computational modeling and simulations. Researchers utilize our models in therapeutic and preventative drug discovery.
Our vision is to untangle Biological Complexity by creating models that accurately capture physiological processes. Using our simulations enhances the predictability of clinical drug development.
Our simulation engine lays the groundwork for potential use across a large number of clinical settings related to any dysregulation within a biological system.
Knowledge is our power
Given that nature is the best guide, we replicate biological order in our computational models to depict states of health and disease.
In addition to simulating the dynamics of biological systems, We leverage Machine Learning along with the integration of multi-omic data in order to improve the predictive accuracy of our models.
While our platform is disease agnostic, we currently focus on the areas of oncology and regenerative medicine