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British Cardiovascular Society/British Heart Foundation/British Atherosclerosis Society/British Society for Cardiovascular Research Young Investigator Award 2023
  1. Arunashis Sau1,
  2. Konstantina Amoiradaki2,
  3. Maddalena Ardissino1,
  4. Amrit Chowdhary3,
  5. Krishnaraj Rathod4,
  6. Sarah Hudson5
  1. 1 National Heart and Lung Institute, Imperial College London, London, UK
  2. 2 Biomedical Engineering and Imaging Sciences, King's College London, London, UK
  3. 3 Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
  4. 4 William Harvey Research Institute, Queen Mary University of London, London, UK
  5. 5 Department of Cardiology, Hereford County Hospital, Wye Valley NHS Trust, Hereford, UK
  1. Correspondence to Dr Sarah Hudson, Hereford County Hospital, Wye Valley NHS Trust, Hereford, HR1 2ER, UK; sarahhudsonuk{at}gmail.com

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The British Cardiovascular Society (BCS)/British Heart Foundation (BHF)/British Atherosclerosis Society/British Society for Cardiovascular Research Young Investigator Award was established in 2001 to recognise excellence in young researchers intending to pursue a career in cardiovascular clinical medicine or research. It is open to both young clinicians and basic scientists. Clinicians should not have attained consultant status at the time the research was performed and basic scientists should be no more than 5 years post-PhD. Investigators submit an abstract, limited to 1000 words, which is then reviewed, and five finalists are selected to give a 10-minute presentation during the BCS annual conference in Manchester, UK. This is followed by five minutes of questions by the judges. The profiles and presentation summaries of this year’s winner, Dr Sau, and the other finalists are shown below.

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Winner: Arunashis Sau

Dr Arunashis Sau is a clinical research fellow, cardiology registrar and PhD candidate at Imperial College London. His main research interest is the application of machine learning (ML) to further the field of cardiology, including applying deep learning to the surface ECG and to intracardiac electrograms. He studied medicine at Imperial College London, where he was awarded a First Class (Honours) degree in Medical Sciences with Cardiovascular Sciences. His postgraduate clinical training to date has been in London, most recently as a National Institute for Health and Care Research (NIHR) Academic Clinical Fellow. He has been awarded a BHF Clinical Research Training Fellowship and started this in October 2021 under the primary supervision of Dr Fu Siong Ng.

Dr Sau’s Young Investigator Award presentation began with the hypothesis that ML has the potential to identify novel markers of risk from the ECG that can go beyond clinician ECG interpretation. In the course of supervised ML training, many thousands of ECG features are identified which are not limited to conventional …

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Footnotes

  • Twitter @arunsau_, @Ko_Amoiradaki, @krishnaraj82, @SarahHudsonUK

  • Contributors Each author submitted their profile and summary of presentation. The final author wrote the introduction and edited the profiles and summaries before sending back to the original authors to ensure they remained happy with the content.

  • Funding KA is supported by King’s BHF Centre of Research Excellence RE/18/2/34213, PG/2019/34897 and RG/20/1/34802. MA is the recipient of a National Institute for Health Research Academic Clinical Fellowship. AC is funded by a British Heart Foundation Clinical Research Training Fellowship (FS/CRTF/20/24003). KR's study was funded by the NIHR (DRF-2014-07-008) and NIHR Academic Clinical Lectureship. AS is supported by a BHF clinical research training fellowship (FS/CRTF/21/24183).

  • Competing interests None declared.

  • Provenance and peer review Commissioned; internally peer reviewed.