AI-driven precision medicine for complex chronic diseases
Creating better, more personalized diagnostic tools and treatment options for unmet medical needs
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Predictive & personalized healthcare
Chronic diseases pose the greatest threat to global health. The solution is mechanostics® – a new generation of more accurate diagnostic, prognostic, and therapy selection tools to identify causal biology, enable precision medicine, and intervene earlier than ever before.
Predicting disease risk
Treating mechanistic 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 uncover the relationships between patients, disease mechanisms, targets, and treatments.
Discovering and developing the right treatments for the right patients with the biology that matters most.
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Stratifying chronic disease biology
Our science holds the key to reducing the global burden of chronic diseases and improving health for billions of people.
Powered by hypothesis-free combinatorial analytics, our platform is built for complex biology – identifying disease signal in patient subgroups that are invisible to other analytical approaches.
We achieve a unique mechanistic understanding of disease – determining causality and enabling patient stratification for successful personalized diagnosis, treatment and prevention.
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 AI or GWAS. Generating 10x the signal from 10% of the data to find the hidden biology underpinning 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.
