IAA Postdoc PH Screening Tool

Pulmonary hypertension (PH) is a rare, deadly, but potentially treatable, cardiovascular condition, which is often overlooked due to non-specific initial symptoms, leading to premature death. Building on our EPSRC-remit research in machine learning and computational geometry, we are developing a software tool to automatically detect the likely presence of pulmonary hypertension in routine chest CT scans. The overarching ambition is to reduce average time to diagnosis (currently ~2-4 years) to facilitate timely treatment and improve patient outcomes. The tool to aid detection of PH has been developed in collaboration with clinical stakeholders since inception and is now at the proof-of-concept stage.

Clinical adoption will require commercialisation as Class IIa CE/UKCA marked medical device software via licensing or spin-out. Therefore, the aim of this project is to progress regulatory and commercialisation pathways, accelerating impact towards the ultimate aim of clinical adoption and improved patient outcomes.