HyPrevent – Using AI to provide insights into disease severity for patients and uncovering hidden disease subgroups

Applications: Drug Discovery, Disease management

HyPreventuses 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.

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

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HyPrevent – Using AI to provide insights into disease severity for patients and uncovering hidden disease subgroups

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