Libor Pastika wins AHA LCH Early Career Award 2024
November 16, 2024
Libor wins the prestigious Lifestyle and Cardiometabolic Health Early Career Investigator Award at the American Heart Association 2024, presenting his work on AIRE-DM.
Read MoreNovember 16, 2024
Libor wins the prestigious Lifestyle and Cardiometabolic Health Early Career Investigator Award at the American Heart Association 2024, presenting his work on AIRE-DM.
Read MoreOctober 24, 2024
We applied deep learning to electrocardiograms (heart tracings) and found we could find subtle signals not apparent to humans that can be used to predict risk of disease and death.
Read MoreOctober 10, 2024
Joseph Barker, Ahmed El-Medany and Boroumand Zeidaabadi engage with the public about our AI-ECG research.
October 7, 2024
Boroumand wins the Heart Rythm Congress (HRC) Young Investigator Competition Basic Science 2024, presenting his work on image AI-ECG.
October 4, 2024
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August 15, 2024
Winner of the Charles Power Prize for Best Overall Performance in BSc, Dudley Prize for Best Overall Performance in Module 1, Agnes Cope Prize for Best Overall Performance in CVS BSc.
Read MoreJuly 22, 2024
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July 17, 2024
Dr Libor Pastika awarded the CEO award at the RIQI 2024 event at Chelsea and Westminster Hospital Trust for his work on using 12-lead ECGs to predict future Type 2 Diabetes Mellitus.
June 25, 2024
We used artificial intelligence (AI) to predict body mass index (BMI) from routine electrocardiograms (ECGs) and assess the risk of future cardiometabolic diseases.
Read MoreMay 24, 2024
Researchers at NHLI have been awarded £5 million from the British Heart Foundation as part of the charity’s highly competitive Research Excellence Awards funding scheme.
Read MoreMay 15, 2024
BHF Clinical Research Training Fellowship awarded for 'Beyond arrhythmias: Interpretable artificial intelligence electrocardiogram analysis for human multimorbidity'.
May 15, 2024
BHF Studentship awarded for 'Exploring image-driven approaches for artificial intelligence-enabled electrocardiograms (AI-ECG) for mortality and time-to-event predictions'.
April 9, 2024
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June 6, 2023
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X X, 2023
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