Dr. Andrew Swift BMedSci MBChB MRCP FRCR PhD

Wellcome Trust Clinical Career Development Fellow

Department of Infection, Immunity & Cardiovascular Disease
University of Sheffield
C Floor, Royal Hallamshire Hospital
Glossop Road
Sheffield
S10 2JF

Tel: +44 (0) 114 215 9143
Fax: +44 (0) 114 271 1714

Biography:

I studied medicine at Sheffield University, graduating in 2003. Following basic medical training I undertook specialist radiology training on the Hull Radiology training scheme.

I joined the University of Sheffield in 2010 as a NIHR Cardiovascular Clinical Fellow and I was awarded a NIHR Biomedical Research Fellowship to complete my PhD entitled “Developing the Role of Magnetic Resonance Imaging in Pulmonary Hypertension”. I am interested in the use of computer science in medicine to improve diagnosis and prognostication, I was employed by INSIGNEO for 5 years as a research fellow and am now a Wellcome Trust Clinical Career Development Fellow.

Research Interests:

My research interests include the clinical application of novel imaging techniques and analysis approaches in patients with cardiac and pulmonary disease.

Teaching Interests:

  • Undergraduate and post graduate research skills training.
  • Radiology teaching for registrars.
  • Cluster leader for BMedSci course.

Professional Activities:

  • Member of the Royal College of Physicians 2006.
  • Fellow of the Royal College of Radiologists 2010.
  • Member of the Pulmonary Vascular Research Institute (PVRI) 2013.
  • Associate editor Clinical Radiology 2015.
  • PVRI imaging workgroup co-founder with Professor David Kiely 2015.
  • Collaborator - Society for Cardiovascular Magnetic Resonance (SCMR) expert consensus for CMR imaging endpoints in clinical research 2015.

Current Projects:

  • Machine learning to improve disease assessment in cardiac and pulmonary disease.
  • Developing MRI as diagnostic and prognostic tool - DITCH.
  • Lung subtraction Iodine mapping in patients with suspected chronic emboli - INSITGATE.
  • Repeatability of magnetic resonance imaging cardiopulmonary metrics in pulmonary arterial hypertension - Implications for trial design.
  • Understanding the phenotype of genetic variants using magnetic resonance imaging and computed tomography - COHORT study.
  • Risk stratification of patients with cardiac and pulmonary disorders.

Publications:

For key publications see below. For a full list of publications click here.

Key words: Swift A Sheffield OR Swift A Hull

Journal articles