July 18, 2025
Winner of the Charles Power Prize for Best Overall Performance in BSc & Agnes Cope Prize for Best Overall Performance in CVS BSc.
June 1, 2025
Boroumand wins the International Society of Electrocardiology Young Investigator Award. He presented his work on image AI-ECG models.
June 1, 2025
Konstantinos achieves runner-up at the International Society of Electrocardiology Young Investigator Award. He presented his work on a novel variational autoencoder framework for explainable AI-ECG.
May 31, 2025
Joseph Barker presents his work at Oriental Congress of Cardiology 2025.
May 28, 2025
Dr Aggour and Dr El-Medany shared preliminary findings from their research on AI-ECG integration in clinical practice at this two-day educational event.
May 16, 2025
This competitive studentship supports his doctoral research at Imperial College London and Chelsea and Westminster Hospital, exploring AI-ECG applications for detecting structural heart disease.
May 16, 2025
Awarded for his project titled: Utilising artificial intelligence on serial ECG recordings for personalised prognostic and clinical risk prediction.
April 26, 2025
Boroumand wins the prestigious Heart Rhythm Society Clinical Category Young Investigator Award. He presented his work on image AI-ECG models.
April 9, 2025
Dr. El-Medany led a session on AI clinical integration. Dr. Ng emphasized patient perspectives in research. Dr. Barker presented AI mortality prediction in "SMuRF-less" patients.
April 5, 2025
Dr Libor Pastika was awarded two Young Investigator Awards at the ESC Preventive Cardiology 2025 Congress, marking an unprecedented achievement in the history of the meeting.
March 25, 2025
Dr Hesham Aggour presented a poster at the annual NIHR Imperial BRC event, showcasing impact stories and progress across the BRC themes, with a focus on public and patient involvement.
March 5, 2025
Boroumand becomes finalist at British Heart Rhythm Society Young Investigator Award. He presented his work on image AI-ECG models.
January 30, 2025
As part of Imperial PERC's outreach initiative, Dr Aggour presented his research to local community members at The ParkLife Café, engaging the public in shaping research priorities.
January 22, 2025
Ahmed and Hesham train medical students on the protocol for a wearables study. Big turnout and new keen medical students join the team.
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.
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October 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.
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October 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 Rhythm Congress (HRC) Young Investigator Competition Basic Science 2024, presenting his work on image AI-ECG.
October 4, 2024
Congratulations to Dr Xili Shi on successfully defending her PhD thesis and becoming the latest doctoral graduate from our team.
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.
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July 22, 2024
Congratulations to Dr Arunashis Sau on successfully defending his PhD thesis and becoming a key milestone in his academic journey.
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.
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May 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.
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May 15, 2024
Awarded for his project titled: Exploring Image-Driven Approaches for artificial intelligence-enabled electrocardiograms(AI-ECG) for Mortality and Time-to-Event Predictions.
May 15, 2024
BHF Clinical Research Training Fellowship awarded for 'Beyond arrhythmias: Interpretable artificial intelligence electrocardiogram analysis for human multimorbidity'.
Our groundbreaking AI-ECG research has captured global attention, appearing in major news outlets and sparking important conversations about the future of healthcare technology.
