AI-driven precision medicine for complex chronic diseases
Creating better, more personalized diagnostic tools and treatment options for unmet medical needs
Predictive & personalized healthcare
Chronic diseases are the greatest threat to global health. The solution is more predictive & preventative healthcare, achieved with mechanostics.
Mechanostics are a new generation of precision medicine diagnostic, prognostic, and therapy selection tools to accurately identify the cause of disease and personalize interventions earlier than ever before.
Predicting disease risk
Treating underlying causes
Preventing onset and progression
Improving outcomes, increasing healthspan, and reducing costs.
Successful & effective drug development
We maximize probability of success throughout every stage of drug discovery and clinical development.
Eliminating 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.
Mechanism-based stratification
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 AI or GWAS. Generating 10x the signal from 10% of the data and finding the hidden biology that underpins complex diseases.
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.
