HyPrevent – Using AI to provide insights into disease severity for patients and uncovering hidden disease subgroups
An AI-driven approach designed to offer valuable insights into the severity of diseases for patients, as well as to uncover previously unidentified subgroups within various diseases.
HyPrevent uses a novel computational method to learn interpretable patterns of both disease severity and subtype from complex, large scale, multi-organ clinical and imaging data. Exploitable insights into patterns of hypertension end organ damage have been developed from unique collections of imaging data.
Applications: Drug Discovery, Disease management
| Features | Benefits |
|---|---|
| Contrastive learning | A unique model and a novel patented pipeline to define disease state and landscape |
| Trajectories | Personalised disease severity/sub-type and identification of potential targets in drug discovery |
| Simple and complex models | Development of tools that allow patients and clinicians to infer complex medical information from simple measures |
| Data | Access to unique curated multi-modal and multi-organ clinical datasets from populations with normo-and hypertensive characteristics |
Patented and Available For
- Co-development
- Consulting
- Licensing