AI-driven precision medicine for complex chronic diseases
Creating better, more personalized diagnostic tools and treatment options for unmet medical needs
Personalized & predictive healthcare
Chronic diseases pose the greatest threat to global health. More personalized, predictive and preventative healthcare is the answer.
Mechanostics are the solution – a new generation of diagnostic and prognostic tools to accurately identify the cause of disease and personalize interventions earlier than ever before.
Predict disease risk
Treat underlying causes
Prevent onset and progression
Improving outcomes, increasing healthspan, and reducing costs.
Successful & effective drug development
In drug development, we maximize the probability of success throughout discovery and clinical trials.
We eliminate risk with mechanistic insights and stratification biomarkers that reveal the relationships between disease mechanisms, targets, treatments, and patients.
Discovering and developing the right treatments for the right patients faster, with the biology that matters most.
Stratifying complex diseases at unmatched resolution
We achieve a unique mechanistic understanding of disease biology – identifying patient subgroups that are invisible to other analytical approaches, determining causality and enabling stratification at unprecedented resolution.
Our science holds the key to unlocking precision medicine for complex conditions, reducing the global burden of chronic diseases and improving health for billions of people.
This is precision medicine, for everyone.
Unique data access
Unparalleled access to multimodal patient data across chronic diseases, through partnerships with biobanks, disease charities, research consortia and global healthcare systems.
Combinatorial analytics
Science that goes far beyond the capabilities of any other AI or data model – generating 10x the signal from just 10% of the data and finding the biology that underpins disease.
Actionable insights
The deepest disease biology insights, mechanistic patient stratification, and biomarker discovery to predict risk of disease earlier and drive more effective diagnostics and treatments.
