CDS clinical decision support

Accurate insights into chronic diseases

Our insights into complex chronic diseases are powering a range of diagnostic, prognostic and therapy selection tools that identify the best interventions to preserve quality of life.

We're building tools that extend the benefits of precision medicine into the management and prevention of diseases that cost health systems 80% of their treatment budgets and affect billions of people worldwide.

Predict and prevent disease

Better prediction and prevention of an individual’s risk in chronic diseases

Personalize treatment selection

Helping select the most effective treatment options for patients with complex pathologies

Clinical utility & economic returns

Deployment of tools in a way that supports their adoption in routine clinical practice

Predict and prevent disease

Better prediction and prevention of an individual’s risk in chronic diseases

Personalize treatment selection

Helping select the most effective treatment options for patients with complex pathologies

Clinical utility & economic returns

Deployment of tools in a way that supports their adoption in routine clinical practice

Precision medicine solutions for chronic diseases beyond oncology and rare disease

Diagnostic tools that more accurately describe the mechanisms underpinning a person’s disease

Tools to deliver personalized treatment recommendations based on genetic, clinical, and epidemiological features

CDS Innovation Engine

The deep insights we generate around complex chronic diseases are embodied in disease models which are used to power our clinical decision support (CDS) tools. These are designed to provide advice and recommendations based on a person’s complete genetic, clinical, and epidemiological profile.

Our CDS provide deeper diagnostic, prognostic and theranostic insights into a wide range of cardiovascular, metabolic, autoimmune, respiratory, psychiatric, and neurodegenerative diseases.

Consistent, provable, and reliable

Because our CDS models are built with logic and geometry they are mathematically complete and consistent, meaning they are provable and will explain the recommendations that they present in the context of a patient’s genetic make-up and circumstances.

Selecting the right targets with the right efficacy-min

The best treatment possible

Patients are often multi-morbid and polypharmaceutical. If there is no way to add a new drug into a fully non-contraindicated regimen, our clinical decision support system allows for ‘roll-back’ – identifying the existing prescription that could potentially be changed to another that would remove the potential for adverse interactions.

Personalized healthcare

Our CDS systems are built using our patented combinatorial analytics platform, coupled with deep disease insights from DiseaseBank. This allows fully personalized recommendations to be made in real-time, at the point of care, embedded into a wide range of deployment devices and environments.

Case study

Endometriosis: Identification of genetic risk factors for better clinical decision support

We identified disease-associated SNPs from genes strongly associated with the risk of developing endometriosis and which have a clear mechanism of action connected to disease symptoms.

Our high resolution patient stratification is enabling development of better, more personalized predictive risk scores and clinical decision support tools for endometriosis, which affects 200 million women around the world.