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Digital Health: A Digital Twin to improve holistic community-based diagnosis of heart disease

Lead Research Organisation: University of Sheffield
Department Name: Infection Immunity & Cardiovasc Disease

Abstract

Today, whether or not heart diseases affecting millions of people in the UK is accurately diagnosed depends almost entirely on how the patient describes their symptoms to a non-specialist GP. Mobile phones, wearables such as smartwatches, and other technologies are now very common and can obtain a lot of information that could help diagnose heart disease. However, this requires such technologies to be developed and for us to understand how patients and doctors use the technologies and understand the data they provide.

This project will work with patients and doctors to learn what information they believe is necessary to diagnose a range of heart diseases. We will develop and test the technologies required to obtain this information. We will then develop ways to communicate this data to both patient and doctor to provide the greatest possible insights into the persons physical and mental health.

Publications

10 25 50

 
Description We have obtained patient and medical staff input into the design of our digital twin, and published these with further manuscripts to follow
Exploitation Route Our work will influence other teams developing healthcare innovations
Sectors Healthcare

 
Description Networks of Cardiovascular Digital Twins (CVD-Net)
Amount £8,844,327 (GBP)
Funding ID EP/Z531297/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 08/2023 
End 09/2028
 
Description The South Yorkshire Digital Health Hub
Amount £3,211,469 (GBP)
Funding ID EP/X03075X/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 08/2023 
End 08/2026