Detecting heart failure before it happens
Diagnostic
Heart failure is thought to affect around 1 million people in the UK. Unfortunately, due to symptoms often not appearing until the heart failure is quite advanced, it can be diagnosed very late, reducing the chance for early treatment.
The aim of this project is to investigate the incidence of heart failure and develop new methods to detect heart failure at an early stage so that treatments can be given to prevent progression of the disease.
This will improve quality and duration of life for people with heart failure.
The development of a new AI-supported model for imaging the heart based on data from over 700 people with atrial fibrillation, allow ablation to be more personalised to individual patients.
Bringing together patients and medical professionals to establish a partnership aimed at identifying areas of priority in adult cardiac surgery, to better inform clinicians and make heart surgery safer for patients.
Developing an AI-assisted computer programme to identify whether a conduction system pacing (CSP) procedure has been successful, which will allow more patients to benefit from this innovative pacemaker technology.
Developing a new test to measure the levels of desmosine in the body, which are higher when there is damage to the aorta, to diagnose aortic dissection more quickly.
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