University College London Receives £1 Million from BHF to Address Cardiovascular Disease with Computer Science & Big Data

Oct 13, 2019 | AI, Big Data, Cardiovascular, Circulatory System, Electronic Health Records, Informatics, Machine Learning

The British Heart Foundation awarded a £1 million grant to fund University College London (UCL) to develop a new team of investigators to address cardiovascular disease by applying advances in computer science and big data.

The British Heart Foundation (BHF) reports that they have funded UCL as heart and circulatory diseases kill 420 people in the UK per day. BHF seeks to leverage the latest advances in computer sciences and big data—part of their “Accelerator Award—factoring in detailed imaging to healthcare data to focus on machine learning to generate the tools and insights needed to better predict, diagnose and treat heart and circulatory conditions.

The Projects

The funding will benefit a number of digital healthcare projects including a new research centre for artificial intelligence (AI) in partnership with Cisco Systems, collaboration with The Alan Turning Institute to advance AI in healthcare and UCLH’s electronic patient record system.

The funding will also be used to strengthen and grow key NHS partnerships beyond UCLH, with the high volume general and specialist cardiovascular services at Barts Heart Centre, as well as Great Ormond Street (children’s cardiovascular) and Royal Free Hospitals.

Lead Research/Investigators

Aroon Hingorani, Director of UCL Institute of Cardiovascular Science

Metin Avkiran, Associate Medical Director

Call to Action: Interested in learning more about these programs? TrialSite News will monitor the initiative—we can also connect you with the investigators.

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